Computer science Books

Book SynopsisWritten in partnership with SAP, this is the first IS book that provides the right introductory content and combines it with hands-on practice in the form of a simulated SAP environment. It also offers a unique perspective by discussing both the typical processes in organizations and the role of information systems in supporting these processes.Table of ContentsChapter 1: Organizations, Processes, and Information Systems. Chapter 2: Enterprise Systems. Chapter 3: The Procurement Process. Chapter 4: The Fulfillment Process. Chapter 5: The Production Process. Chapter 6: Integrated Processes.

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Book SynopsisAlternative techniques and tools for analyzing biomolecular networks With the recent rapid advances in molecular biology, high-throughput experimental methods have resulted in enormous amounts of data that can be used to study biomolecular networks in living organisms. With this development has come recognition of the fact that a complicated living organism cannot be fully understood by merely analyzing individual components. Rather, it is the interactions of components or biomolecular networks that are ultimately responsible for an organism''s form and function. This book addresses the important need for a new set of computational tools to reveal essential biological mechanisms from a systems biology approach. Readers will get comprehensive coverage of analyzing biomolecular networks in cellular systems based on available experimental data with an emphasis on the aspects of network, system, integration, and engineering. Each topic is treated in depth with specific biologicaTable of ContentsPREFACE. ACKNOWLEDGMENTS. LIST OF ILLUSTRATIONS. ACRONYMS. 1 Introduction. 1.1 Basic Concepts in Molecular Biology. 1.2 Biomolecular Networks in Cells. 1.3 Network Systems Biology. 1.4 About This Book. I GENE NETWORKS. 2 Transcription Regulation: Networks and Models. 2.1 Transcription Regulation and Gene Expression. 2.2 Networks in Transcription Regulation. 2.3 Nonlinear Models Based on Biochemical Reactions. 2.4 Integrated Models for Regulatory Networks. 2.5 Summary. 3 Reconstruction of Gene Regulatory Networks. 3.1 Mathematical Models of Gene Regulatory Network. 3.2 Reconstructing Gene Regulatory Networks. 3.3 Inferring Gene Networks from Multiple Datasets. 3.4 Gene Network-Based Drug Target Identification. 3.5 Summary. 4 Inference of Transcriptional Regulatory Networks. 4.1 Predicting TF Binding Sites and Promoters. 4.2 Inference of Transcriptional Interactions. 4.3 Identifying Combinatorial Regulations of TFs. 4.4 Inferring Cooperative Regulatory Networks. 4.5 Prediction of Transcription Factor Activity. 4.6 Summary. II PROTEIN INTERACTION NETWORKS. 5 Prediction of Protein–Protein Interactions. 5.1 Experimental Protein–Protein Interactions. 5.2 Prediction of Protein–Protein Interactions. 5.3 Protein Interaction Prediction Based on Multidomain Pairs. 5.4 Domain Interaction Prediction Methods. 5.5 Summary. 6 Topological Structure of Biomolecular Networks. 6.1 Statistical Properties of Biomolecular Networks. 6.2 Evolution of Protein Interaction Networks. 6.3 Hubs, Motifs, and Modularity in Biomolecular Networks. 6.4 Explorative Roles of Hubs and Network Motifs. 6.5 Modularity Evaluation of Biomolecular Networks. 6.6 Summary. 7 Alignment of Biomolecular Networks. 7.1 Biomolecular Networks from Multiple Species. 7.2 Pairwise Alignment of Biomolecular Networks. 7.3 Network Alignment by Mathematical Programming. 7.4 Multiple Alignment of Biomolecular Networks. 7.5 Subnetwork and Pathway Querying. 7.6 Summary. 8 Network-Based Prediction of Protein Function. 8.1 Protein Function and Annotation. 8.2 Protein Functional Module Detection. 8.3 Functional Linkage for Protein Function Annotation. 8.4 Protein Function Prediction from High-Throughput Data. 8.5 Function Annotation Methods for Domains. 8.6 Summary. III METABOLIC NETWORKS AND SIGNALING NETWORKS. 9 Metabolic Networks: Analysis, Reconstruction, and Application. 9.1 Cellular Metabolism and Metabolic Pathways. 9.2 Metabolic Network Analysis and Modeling. 9.3 Reconstruction of Metabolic Networks. 9.4 Drug Target Detection in Metabolic Networks. 9.5 Summary. 10 Signaling Networks: Modeling and Inference. 10.1 Signal Transduction in Cellular Systems. 10.2 Modeling of Signal Transduction Pathways. 10.3 Inferring Signaling Networks from High-Throughput Data. 10.4 Inferring Signaling Networks by Linear Programming. 10.5 Inferring Signaling Networks from Experimental Evidence. 10.6 Summary. 11 Other Topics and New Trends. 11.1 Network-Based Protein Structural Analysis. 11.2 Integration of Biomolecular Networks. 11.3 Posttranscriptional Regulation of Noncoding RNAs. 11.4 Biomolecular Interactions and Human Diseases. 11.5 Summary. REFERENCES. INDEX.

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Book SynopsisBusiness professionals who want to advance their careers need to have a strong understanding of how to utilize business intelligence. This new book provides a comprehensive introduction to the basic business and technical concepts they ll need to know. It integrates case studies that demonstrate how to apply the material.Table of ContentsPreface. Acknowledgments. About the Authors. Part I Introduction to Business Intelligence. Chapter 1 Business Intelligence and Its Impacts. Chapter 2 Business Intelligence Capabilities. Part II Technologies Enabling Business Intelligence. Chapter 3 Technologies Enabling Organizational Memory. Chapter 4 Technologies Enabling Information Integration. Chapter 5 Technologies Enabling Insights and Decisions. Chapter 6 Technologies Enabling Presentation. Part III Management and Future of Business Intelligence. Chapter 7 Business Intelligence Tools and Vendors. Chapter 8 Development of Business Intelligence. Chapter 9 Management of Business Intelligence. Chapter 10 The Future of Business Intelligence.

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Book SynopsisTable of Contents1 Introduction to Business Processes 1 The Functional Organizational Structure 2 Business Processes 4 Global Bike Incorporated (GBI) 15 How to use This Book 16 2 Introduction to Enterprise Systems 23 Enterprise Systems 23 Data in an Enterprise System 29 Reporting 37 3 Introduction to Accounting 49 Organizational Data 51 Master Data 52 Key Concepts 58 Processes 61 Reporting 72 4 The Procurement Process 83 Organizational Data 84 Master Data 89 Key Concepts 95 Process 102 Reporting 119 5 The Fulfillment Process 127 Organizational Data 128 Master Data 139 Process 145 Credit Management Process 167 Reporting 170 6 The Production Process 179 Master Data 182 Process 196 Reporting 215 7 Inventory and Warehouse Management Processes 221 Inventory Management 222 Organizational Data in Warehouse Management 234 Master Data in Warehouse Management 239 Processes in Warehouse Management 242 Reporting 257 8 The Material Planning Process 269 Master Data 271 Process 285 Reporting 304 9 Process Integration 315 Procurement, Fulfi llment, and IWM Processes 318 Procurement, Fulfi llment, Production, and IWM Processes 332 Index 349

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Book SynopsisFully updated with new information, including the latest changes to YouTube! If you''re a marketer, consultant, or small business owner, this is the guide you need to understand video marketing tactics, develop a strategy, implement the campaign, and measure results. You''ll find extensive coverage of keyword strategies, tips on optimizing your video, distribution and promotion tactics, YouTube advertising opportunities, and crucial metrics and analysis. Avoid errors, create a dynamite campaign, and break it all down in achievable tasks with this practical, hour-a-day, do-it-yourself guide. Shows you how to successfully develop, implement, and measure a successful video marketing strategy Written in the popular An Hour a Day format, which breaks intimidating topics down to easily approachable tasks Thoroughly updated with the latest YouTube functionality, helpful new case studies, the latest marketing insights, and more Covers optimizaTable of ContentsForeword xv Introduction xvii Chapter 1 A Short History of YouTube 1 Life before YouTube 2 2005–2006: Early Days 3 2007–2008: Middle Years 10 2009–2010: Coming of Age 20 Chapter 2 Map Out Your Video Marketing Strategy 27 Four Ps vs. Five Ws and an H 28 What Types of Video Content Do They Watch? 42 Where and When Do They Discover New Videos? 47 When and Where Do They Share New Videos? 49 Why Don’t More New Videos Go Viral? 52 How Do YouTube and Video Marketing Work? 57 Chapter 3 Month 1: Make Videos Worth Watching 63 Happy Tree #3,079 64 Week 1: Get Ready to Shoot 65 Week 2: Learn Video Production Basics 74 Week 3: Get Advanced Video Production Tips 83 Week 4: Evaluate Video Advertising Options 91 Chapter 4 Month 2: Create Content Worth Sharing 103 Learn the Lesson of "The Last Lecture" 104 Week 1: Watch YouTube Award Winners 107 Week 2: Explore Popular YouTube Videos 117 Week 3: Examine Contagious Viral Ads 133 Week 4: Observe Top Viral Videos 147 Chapter 5 Month 3: Customize Your YouTube Channel 163 Center vs. Circumference 164 Week 1: Set Up a YouTube Channel 165 Week 2: Become a YouTube Partner 174 Week 3: Create a YouTube Brand Channel 184 Week 4: Stream Live Content on YouTube 196 Chapter 6 Month 4: Explore YouTube Alternatives 203 The Northwest Passage 204 Week 1: Explore Other Video Sites 205 Week 2: Survey Video Hosting Services 213 Week 3: Look at Online Video Platforms 222 Week 4: Investigate Video Ad Networks 232 Chapter 7 Month 5: Optimize Video for YouTube 239 What Is Video Optimization? 240 Week 1: Research Keywords . 241 Week 2: Optimize Video Watch Pages 249 Week 3: Optimize Your Brand Channel 258 Week 4: Optimize Video for the Web 267 Chapter 8 Month 6: Engage the YouTube Community 277 Paul Revere's Ride 278 Week 1: Become a Member of the YouTube Community 281 Week 2: Learn the Secrets of YouTube Success 292 Week 3: Build Buzz Beyond YouTube 301 Week 4: Watch Online Video Case Studies 310 Chapter 9 Month 7: Trust but Verify YouTube Insight 325 The Map Room 326 Week 1: Trust YouTube Insight 328 Week 2: Verify with TubeMogul 338 Week 3: Verify with Google Analytics 348 Week 4: Master Web Analytics 2.0 357 Chapter 10 Study YouTube Success Stories 367 The Story behind the Story 368 Deliver 700 Percent Increase in Sales: Will It Blend? 369 Win the Presidency of the United States: Barack Obama 378 Increase Sales of DVDs 23,000 Percent: Monty Python 393 Generate $2.1 million in Sales: PiperSport Launch 399 Chapter 11 A Quick Look at the Future 409 "It's Never the Same! It's Always Bizarre!" 410 Look at What Has Changed in the Past Year 411 Stay on Top of the Latest Trends 424 Play by the New Rules of YouTube Marketing . 435 "Hit 'em Where They Ain't" 452 Index 457

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Book SynopsisConcise Encyclopaedia of Bioinformatics and Computational Biology, 2nd Edition is a fully revised and updated version of this acclaimed resource. The book provides definitions and often explanations of over 1000 words, phrases and concepts relating to this fast-moving and exciting field, offering a convenient, one-stop summary of the core knowledge in the area. This second edition is an invaluable resource for students, researchers and academics.Trade Review“This book is an invaluable resource for students, researchers, and academics. Summing Up: Highly recommended. Upper-division undergraduates through professionals/practitioners.” (Choice, 1 September 2014) Table of ContentsList of Contributors ix Preface xiii Entries A to Z 1 Author Index 791 Colour plate section facing p 210

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Book SynopsisConcise Encyclopaedia of Bioinformatics and Computational Biology, 2nd Edition is a fully revised and updated version of this acclaimed resource. The book provides definitions and often explanations of over 1000 words, phrases and concepts relating to this fast-moving and exciting field, offering a convenient, one-stop summary of the core knowledge in the area. This second edition is an invaluable resource for students, researchers and academics.Trade Review“This book is an invaluable resource for students, researchers, and academics. Summing Up: Highly recommended. Upper-division undergraduates through professionals/practitioners.” (Choice, 1 September 2014) Table of ContentsList of Contributors ix Preface xiii Entries A to Z 1 Author Index 791 Colour plate section facing p 210

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Book SynopsisThis work covers the emerging distributional theory of sorting. It book opens with a chapter on the general area of complete and partial sorting. The following chapters discuss every standard sorting algorithm with a careful explanation of the mechanics of the algorithm both as code and verbally.Trade Review"Discussion of a range of common sorting approaches...with emphasis on, and analysis of, the distributions associated with the complexity measures on the algorithms." (American Mathematical Monthly, March 2002) "...this book, in addition to being a reference book for computer professionals, is a good book to be used in teaching..." (Mathematical Reviews, 2003a)Table of ContentsSorting and Associated Concepts. Insertion Sort. Shell Sort. Bubble Sort. Selection Sort. Sorting by Counting. Quick Sort. Sample Sort. Heap Sort. Merge Sort. Bucket Sorts. Sorting Nonrandom Data. Epilogue. Answers to Exercises. Appendix. Bibliography. Index.

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Book SynopsisThe Art of Computer Systems Performance Analysis At last, a welcome and needed text for computer professionals who require practical, ready-to-apply techniques for performance analysis. Highly recommended! -Dr. Leonard Kleinrock University of California, Los Angeles An entirely refreshing text which has just the right mixture of theory and real world practice. The book is ideal for both classroom instruction and self-study. -Dr. Raymond L. Pickholtz President, IEEE Communications Society An extraordinarily comprehensive treatment of both theoretical and practical issues. -Dr. Jeffrey P. Buzen Internationally recognized performance analysis expert . it is the most thorough book available to date -Dr. Erol Gelenbe Université René Descartes, Paris . an extraordinary book.. A worthy addition to the bookshelf of any practicing computer or communications engineer -Dr. Vinton G. Cer??? Chairman, ACM SIGCOMM This is an unusual object, a textbook that one wants to sit down and peruse. The proseTrade Review"At last, a welcome and needed text for computer professionals who require practical, ready-to-apply techniques for performance analysis. Highly recommended!" -Dr. Leonard Kleinrock University of California, Los Angeles "An entirely refreshing text which has just the right mixture of theory and real world practice. The book is ideal for both classroom instruction and self-study." -Dr. Raymond L. Pickholtz President, IEEE Communications Society "An extraordinarily comprehensive treatment of both theoretical and practical issues." -Dr. Jeffrey P. Buzen Internationally recognized performance analysis expert ". it is the most thorough book available to date" -Dr. Erol Gelenbe Universite Rene Descartes, Paris ". an extraordinary book. A worthy addition to the bookshelf of any practicing computer or communications engineer" -Dr. Vinton G. Cerf Chairman, ACM SIGCOMM "This is an unusual object, a textbook that one wants to sit down and peruse. The prose is clear and fluent, but more important, it is witty." -Allison Mankin The Mitre Washington Networking Center NewsletterTable of ContentsPartial table of contents: AN OVERVIEW OF PERFORMANCE EVALUATION. Common Mistakes and How to Avoid Them. Selection of Techniques and Metrics. MEASUREMENT TECHNIQUES AND TOOLS. Types of Workloads. Workload Characterization Techniques. Monitors. Ratio Games. PROBABILITY THEORY AND STATISTICS. Summarizing Measured Data. Simple Linear Regression Models. Other Regression Models. EXPERIMENTAL DESIGN AND ANALYSIS. One-Factor Experiments. Two-Factor Full Factorial Design without Replications. Two-Factor Full Factorial Design with Replications. SIMULATION. Analysis of Simulation Results. Testing Random-Number Generators. Commonly Used Distributions. QUEUEING MODELS. Analysis of a Single Queue. Operational Laws. Convolution Algorithm. Appendix. Solutions to Selected Exercises. References. Author Index. Subject Index.

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Book Synopsis* Provides valuable insight into the progress and direction of development of the World Wide Web and its likely future applications in science and business. * Reviews the prospects for the Web to develop intelligent services (such as online businesses, games, purchases, new search capabilities, and accessibility to trustworthy information).Trade Review?Anyone with experience of HCI will want to read this book which after all, has provided a new and entirely different way of providing a stimulus to a subject that is very much in need of direction.? (Kybernetes, 2009) "Thinking on the Web offers a fascinating history and impressive background of the age we are living through, and serves as a tribute to three great minds. A true geek bonus is the depth of coverage, with rich explanations, examples, and a look at next generation web services." (Blogcritics.org, March 9, 2009)Table of ContentsPreface. The Purpose of this Book. Who Should Read this Book. The Organization of this Book. PART I: WHAT IS WEB INTELLIGENCE. Chapter 1: The Information Age and the Web. Overview. Thinking and Intelligent Web Applications. The Information Age. The World Wide Web. The Limitations of Today’s Web. The Next Generation Web. Why Intelligent Ubiquitous Devices Improve Productivity. Conclusion. Exercises. Interlude #1 Thinking about Thinking. Chapter 2: Gödel - What is Decidable? Overview. Philosophical and Mathematical Logic. Kurt Gödel. Knowledge Representation. Computational Logic . Artificial Intelligence. Web Architecture and Business Logic. The Semantic Web. Conclusion. Exercises. Interlude #2 Truth and Beauty. Chapter 3: Turing - What is Machine Intelligence? Overview. What is Machine Intelligence? Alan Turing. What is Machine Intelligence? Turing Test and the Loebner Prize . John Searle’s Chinese Room. Artificial Intelligence. Machine Intelligence . Semantic Networks and Frames. Reasoning with Semantic Networks. Computational Complexity. Description Logic (DL). Ontology. Inference Engines. Software Agents. Adaptive Software. Limitations and Capabilities. Conclusion. Exercises. Interlude #3: Computing Machines. Chapter 4: Berners-Lee ? What is Solvable on the Web? Overview. The World Wide Web. Berners-Lee. Competing Web Standards. The Semantic Web Roadmap. Semantic Web Services. Logic on the Semantic Web. Semantic Web Capabilities and Limitations. Conclusion. Exercises. Interlude #4 Turing’s Test. PART II: WEB ONTOLOGY AND LOGIC. Chapter 5: Resource Framework Description -- RDF. Overview . HTML Language. XML Language. RDF Language. Basic Elements. RDF Schema. XQuery - XML Query Language. Conclusion . Exercises. Interlude #5 The Chinese Room. Chapter 6: Web Ontology Language -- OWL. Overview. Ontology Language. Ontology Language Requirements. Compatibility of OWL and RDF/RDFS. The OWL Language. Basic Elements. OWL Example -- Compute Ontology. Ontology Example -- Birthplace. Applying OWL. OWL Capabilities and Limitations. Conclusion. Exercises. Interlude #6: Machines and Brains. Chapter 7: Ontology Engineering. Overview. Ontology Engineering. Constructing Ontologies. Ontology Example. Ontology Methods. Ontology Libraries. Ontology Matching. Ontology Mapping . Ontology Mapping Tools . Conclusion. Exercises. Interlude #7: Machines and Meaning. Chapter 8: Logic, Inference and Rule Systems. Overview. Logic and Inference. Monotonic and Nonmonotonic Rules. Descriptive Logic. Inference Engines. Example RDF Inference Engine. Conclusion. Exercises. Interlude #8: Machines and Rules. Chapter 9: Semantic Web Rule Language -- SWRL. Overview. Rule Systems. Rule Languages. Semantic Web Rule Language (SWRL). Conclusion. Exercises. Interlude #9: Machines and Language. Chapter 10: Semantic Web Applications. Overview. Semantic Web Applications . Web Services. Semantic Search. e-Learning . Semantic Web and Bio-Informatics . Enterprise Application Integration. On-To-Knowledge (OTK) . Knowledge Base. Conclusion. Exercise. Interlude #10: Distributed Intelligence. Chapter 11: Web Ontology Language for Services -- OWL-S. Overview. XML-Based Web Services. Next Generation Web Services . OWL-S Primer. Creating an OWL-S Ontology for a Web Services. Conclusion. Exercises. Interlude #11: The Semantic Web. Chapter 12: Semantic Search Technology. Overview. Search Engines . Semantic Search. Semantic Search Technology. Web Search Agents. Semantic Methods. Latent Semantic Index Search. TAP. Swoogle. Conclusion. Exercises. Interlude #12: The Halting Problem. Chapter 13: Semantic Patterns and Adoptive Software. Overview . Patterns in Software Design. Pattern Frame. Semantic Patterns. Self-Organizing and Adaptive Software. Conclusion. Exercises. Interlude #13: The Semantic Web and Meaning. Chapter 14: Semantic Tools. Overview . Semantic Tools. Semantic Web Services Tools. Conclusion. Interlude #14: The Semantic Web and Language. Chapter 15: Opportunities and Challenges. Overview. Semantic Doubt. Semantic Opportunities. Challenges. Balancing Proprietary and Open Standards. Conclusion. Interlude #15: The Semantic Web and Zeno’s Paradox. Bibliography. Glossary. List of Acronyms. Index.

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Book SynopsisEssential Bioinformatics is a concise yet comprehensive textbook of bioinformatics, which provides a broad introduction to the entire field. Written specifically for a life science audience, the basics of bioinformatics are explained, followed by discussions of the state-of-the-art computational tools available to solve biological research problems. All key areas of bioinformatics are covered including biological databases, sequence alignment, genes and promoter prediction, molecular phylogenetics, structural bioinformatics, genomics and proteomics. The book emphasizes how computational methods work and compares the strengths and weaknesses of different methods. This balanced yet easily accessible text will be invaluable to students who do not have sophisticated computational backgrounds. Technical details of computational algorithms are explained with a minimum use of mathematical formulae; graphical illustrations are used in their place to aid understanding. The effective synthesis oTrade Review'Essential Bioinformatics is a welcome addition to this area, by having a broad general approach that I think is particularly suitable for undergraduate teaching. The advantage of this being a new book is that there is not an overriding focus on structural bioinformatics that was seen in some earlier texts, which allows for a much broader coverage of newer areas like comparative and functional genomics.' http://www.sgm.ac.uk/pubs/micro_today/book_reviews/MTNOV06/MTN06_31.cfm'The book would be ideal for biologists who wish to gain a grasp of the different analysis techniques available to the microarray user.' http://www.sgm.ac.uk/pubs/micro_today/book_reviews/MTAUG04/MTA04_13.cfm'Awareness of bioinformatics is essential in a modern microbiological qualification and as this subject matures there are an increasing number of texts available. Essential Bioinformatics is a welcome addition to this area, by having a broad general approach that I think is particularly suitable for the undergraduate teaching.' Gavin Thomas, University of YorkTable of ContentsPreface; Part I. Introduction and Biological Databases: 1. Introduction; 2. Introduction to biological databases; Part II. Sequence Alignment: 3. Pairwise sequence alignment; 4. Database similarity search; 5. Multiple sequence alignment; 6. Profiles and hidden Markov models; 7. Protein motifs and patterns; Part III. Gene and Promoter Prediction: 8. Gene prediction; 9. Promoter and regulatory element prediction; Part IV. Molecular Phylogenetics: 10. Phylogenetics basics; 11. Phylogenetic tree construction methods and programs; Part V. Protein Structure Basics: 12. Protein structure basics; 13. Protein structure visualization, comparison and classification; 14. Protein secondary structure prediction; 15. Protein tertiary structure prediction; 16. RNA structure prediction; Part VI. Genomics and Proteomics: 17. Genome mapping, assembly and comparison; 18. Functional genomics; 19. Proteomics; Practical exercises; Glossary.

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Book SynopsisFirst published in 2007, this second edition was fully updated with several new sections and chapters. It covers many different computational methodologies and will interest graduate students and researchers in theoretical, computational and experimental physics with a background in elementary programming, numerical analysis, and field theory, condensed matter theory and statistical physics.Trade Review'The growing importance of computational physics to physics research as a whole will depend not only on increasingly powerful computers, but also on the continuing development of algorithms and numerical techniques for putting these machines to use. Furthermore, physics departments will need to augment their curricula to provide students with the skills needed to perform research using computers … In Computational Physics, [Jos] Thijssen has produced a book that is well suited to meeting these needs … This book makes it easier to approach a new topic and encourages the reader to consider a modular approach when writing programs.' Physics Today'… I find this book very useful since it provides a thorough discussion of the computational methods used in physics combined with an extensive presentation of the underlying physics … On the one hand an experienced researcher can easily transfer the obtained knowledge from this book to a particular research topic, while on the other hand a newcomer in the field will benefit from the presentation of the subject from first principles.' Lampros Nikolopoulos, Contemporary PhysicsTable of Contents1. Introduction; 2. Quantum scattering with a spherically symmetric potential; 3. The variational method for the Schrödinger equation; 4. The Hartree–Fock method; 5. Density functional theory; 6. Solving the Schrödinger equation in periodic solids; 7. Classical equilibrium statistical mechanics; 8. Molecular dynamics simulations; 9. Quantum molecular dynamics; 10. The Monte Carlo method; 11. Transfer matrix and diagonalisation of spin chains; 12. Quantum Monte Carlo methods; 13. The infinite element method for partial differential equations; 14. The lattice Boltzmann method for fluid dynamics; 15. Computational methods for lattice field theories; 16. High performance computing and parallelism; Appendix A. Numerical methods; Appendix B. Random number generators; References; Index.

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Book SynopsisThis extensive textbook sets out modern methods of computing properties of materials for graduates and researchers who want to use and understand advanced tools. Including essential theoretical background, practical guidelines and instructive applications, as well as less technical topic overviews for beginners, this book illuminates the mathematics behind the methods.Table of ContentsPreface; Part I. Interacting Electrons: Beyond the Independent-Particle Picture: 1. The many electron problem: introduction; 2. Signatures of electron correlation; 3. Concepts and models for interacting electrons; Part II. Foundations of Theory for Many-Body Systems: 4. Mean fields and auxiliary systems; 5. Correlation functions; 6. Many-body wavefunctions; 7. Particles and quasi-particles; 8. Functionals in many-particle physics; Part III. Many-Body Green's Function Methods: 9. Many-body perturbation theory: expansion in the interaction; 10. Many-body perturbation theory via functional derivatives; 11. The RPA and the GW approximation for the self-energy; 12. GWA calculations in practice; 13. GWA calculations: illustrative results; 14. RPA and beyond: the Bethe-Salpeter equation; 15. Beyond the GW approximation; 16. Dynamical mean field theory; 17. Beyond the single-site approximation in DMFT; 18. Solvers for embedded systems; 19. Characteristic hamiltonians for solids with d and f states; 20. Examples of calculations for solids with d and f states; 21. Combining Green's functions approaches: an outlook; Part IV. Stochastic Methods: 22. Introduction to stochastic methods; 23. Variational Monte Carlo; 24. Projector quantum Monte Carlo; 25. Path integral Monte Carlo; 26. Concluding remarks; Part V. Appendices: A. Second quantization; B. Pictures; C. Green's functions: general properties; D. Matsubara formulation for Green's functions for T ̸= 0; E. Time-ordering, contours, and non-equilibrium; F. Hedin's equations in a basis; G. Unique solutions in Green's function theory; H. Properties of functionals; I. Auxiliary systems and constrained search; J. Derivation of the Luttinger theorem; K. Gutzwiller and Hubbard approaches; References; Index.

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Book SynopsisFormal systems in computer science frequently involve specifications of computations over syntactic structures. In this book, the authors develop a programming language based on a simply typed version of higher-order logic and show that it provides an elegant approach to performing computations over structures embodying binding.Trade Review'… I am impressed with the depth of the discussion and the clearly well-produced book. The authors have argued successfully for the power and versatility of the fundamental ideas underlying λProlog.' Sara Kalvala, Computing ReviewsTable of Contents1. First-order terms and representations of data; 2. First-order horn clauses; 3. First-order hereditary Harrop formulas; 4. Typed lambda terms and formulas; 5. Using quantification at higher-order types; 6. Mechanisms for structuring large programs; 7. Computations over λ-terms; 8. Unification of λ-terms; 9. Implementing proof systems; 10. Computations over functional programs; 11. Encoding a process calculus language; Appendix: the Teyjus system.

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Book SynopsisProviding the first coherent presentation of this rapidly growing field, this book covers a range of methods and their applications. Ideal for graduate students and researchers, it contains pseudo-code and program layout for typical plane wave electronic structure codes, allowing readers to improve and add new features in their code.Trade ReviewReview of the hardback: '… a student or newcomer to the field of molecular dynamics will find the approaches discussed in Ab Initio Molecular Dynamics a good place to start … [The book is] written clearly and informed by the state-of-the-art research experiences of the authors themselves. Reading it is a valuable experience akin to spending time in their research groups.' Physics TodayTable of ContentsPreface; 1. Setting the stage: why ab initio molecular dynamics?; Part I. Basic Techniques: 2. Getting started: unifying MD and electronic structure; 3. Implementation: using the plane wave basis set; 4. Atoms with plane waves: accurate pseudopotentials; Part II. Advanced Techniques: 5. Beyond standard ab initio molecular dynamics; 6. Beyond norm-conserving pseudopotentials; 7. Computing properties; 8. Parallel computing; Part III. Applications: 9. From materials to biomolecules; 10. Properties from ab initio simulations; 11. Outlook; Bibliography; Index.

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Book SynopsisTells readers how to get started with the GNU Emacs editor. It is a guide that will also "grow" with you: as you become more proficient, this book will help you learn how to use Emacs more effectively. It takes you from basic Emacs usage (simple text editing) to moderately complicated customization and programming.Table of ContentsPreface - 1. Emacs Basics - - Introducing Emacs! - Understanding Files and Buffers - A Word About Modes - Starting Emacs - About the Emacs Display - Emacs Commands - Opening a File; Saving Files - Leaving Emacs - Getting Help - Summary; 2. Editing - Moving the Cursor - Deleting Text - Marking Text to Delete, Move, or Copy - Emacs and the Clipboard - Editing Tricks and Shortcuts - Canceling Commands and Undoing Changes - Making Emacs Work the Way You Want - 3. Search and Replace - Different Kinds of Searches - Search and Replace - Checking Spelling Using Ispell - Word Abbreviations - 4. Using Buffers, Windows, and Frames; Understanding Buffers, Windows, and Frames - Working with Multiple Buffers - Working with Windows - Working with Frames - More About Buffers - More About Windows - Holding Your Place with Bookmarks; 5. Emacs as a Work Environment - Executing Commands in Shell Buffers; Using Dired, the Directory Editor - Preface - 1. Emacs Basics; Introducing Emacs! - Understanding Files and Buffers - A Word About Modes - Starting Emacs - About the Emacs Display - Emacs Commands; Opening a File - Saving Files - Leaving Emacs - Getting Help; Summary - 2. Editing - Moving the Cursor - Deleting Text; Marking Text to Delete, Move, or Copy - Emacs and the Clipboard; Editing Tricks and Shortcuts - Canceling Commands and Undoing Changes - Making Emacs Work the Way You Want - 3. Search and Replace - Different Kinds of Searches - Search and Replace; Checking Spelling Using Ispell - Word Abbreviations - 4. Using Buffers, Windows, and Frames - Understanding Buffers, Windows, and Frames - Working with Multiple Buffers - Working with Windows; Working with Frames - More About Buffers - More About Windows; Holding Your Place with Bookmarks - 5. Emacs as a Work Environment; Executing Commands in Shell Buffers - Using Dired, the Directory Editor - Printing from Emacs Reading Manpages in Emacs; Using Time Management Tools - 6. Writing Macros Defining a Macro Tips for Creating Good Macros - A More Complicated Macro Example; Editing a Macro - The Macro Ring - Binding Your Macro to a Key; Naming, Saving, and Executing Your Macros - Building More Complicated Macros - Executing Macros on a Region - Beyond Macros; 7. Simple Text Formatting and Specialized Editing Using Tabs; Indenting Text - Centering Text - Using Outline Mode; Rectangle Editing Making Simple Drawings - 8. Markup Language Support Comments - Font-Lock Mode - Writing HTML Writing XML - Marking up Text for TEX and LATEX - 9. Computer Language Support; Emacs as an IDE - Writing Code - C and C++ Support - Java Support The Java Development Environment for Emacs (JDEE); Perl Support - SQL Support - The Lisp Modes - 10. Customizing Emacs; Using Custom - Modifying the .emacs File Directly - Modifying Fonts and Colors - Customizing Your Key Bindings Setting Emacs Variables - Finding Emacs Lisp Packages - Starting Modes via Auto-Mode Customization - Making Emacs Work the Way You Think It Should; 11. Emacs Lisp Programming - Introduction to Lisp - Lisp Primitive Functions - Useful Built-in Emacs Functions - Building an Automatic Template System - Programming a Major Mode - Customizing Existing Modes - Building Your Own Lisp Library - 12. Version Control The Uses of Version Control - Version Control Concepts; How VC Helps with Basic Operations - Editing Comment Buffers; VC Command Summary - VC Mode Indicators - Which Version Control System? - Individual VC Commands - Customizing VC - Extending VC; What VC Is Not - Using VC Effectively - Comparing with Ediff; 13. Platform-Specific Considerations Emacs and Unix - Emacs and Mac OS X Emacs and Windows - 14. The Help System - Using the Tutorial - Help Commands - Help with Complex Emacs Commands Navigating Emacs Documentation - Completion - A. Emacs Variables; B. Emacs Lisp Packages C. Bugs and Bug Fixes - D. Online Resources; E. Quick Reference Glossary - Index - Printing from Emacs; Reading Manpages in Emacs - Using Time Management Tools 6. Writing Macros Defining a Macro - Tips for Creating Good Macros; A More Complicated Macro Example - Editing a Macro - The Macro Ring; Binding Your Macro to a Key - Naming, Saving, and Executing Your Macros - Building More Complicated Macros - Executing Macros on a Region - Beyond Macros - 7. Simple Text Formatting and Specialized - Editing - Using Tabs - Indenting Text - Centering Text Using Outline Mode - Rectangle Editing - Making Simple Drawings - 8. Markup Language Support Comments - Font-Lock Mode; Writing HTML - Writing XML - Marking up Text for TEX and LATEX; 9. Computer Language Support - Emacs as an IDE - Writing Code; C and C++ Support - Java Support - The Java Development Environment for Emacs (JDEE) - Perl Support - SQL Support - The Lisp Modes; 10. Customizing Emacs Using Custom - Modifying the .emacs File Directly - Modifying Fonts and Colors - Customizing Your Key Bindings - Setting Emacs Variables - Finding Emacs Lisp Packages; Starting Modes via Auto-Mode Customization - Making Emacs Work the Way You Think It Should - 11. Emacs Lisp Programming; Introduction to Lisp - Lisp Primitive Functions - Useful Built-in Emacs Functions - Building an Automatic Template System Programming a Major Mode - Customizing Existing Modes - Building Your Own Lisp Library - 12. Version Control The Uses of Version Control - Version Control Concepts - How VC Helps with Basic Operations - Editing Comment Buffers - VC Command Summary; VC Mode Indicators - Which Version Control System? - Individual VC Commands - Customizing VC - Extending VC - What VC Is Not - Using VC Effectively - Comparing with Ediff - 13. Platform-Specific Considerations - Emacs and Unix - Emacs and Mac OS X - Emacs and Windows - 14. The Help System - Using the Tutorial - Help Commands; Help with Complex Emacs Commands Navigating Emacs Documentation; Completion - A. Emacs Variables - B. Emacs Lisp Packages; C. Bugs and Bug Fixes - D. Online Resources - E. Quick Reference; Glossary - Index

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Book SynopsisThis book in the Edinburgh Textbooks in Empirical Linguistics series is a comprehensive introduction to the statistics currently used in corpus linguistics.Trade ReviewGives many instructive examples of statistical techniques applied to language data, provides exercises at the end of each chapter, and has a clear glossary. Year's Work in English Studies This book is essential for learning statistical analysis of texts. Most importantly, Oakes's is the only current corpus-linguistic book that devotes such a large portion of its pages to stylistics ! the whole book is worthwhile for the literary scholar. Language and Literature Gives many instructive examples of statistical techniques applied to language data, provides exercises at the end of each chapter, and has a clear glossary. This book is essential for learning statistical analysis of texts. Most importantly, Oakes's is the only current corpus-linguistic book that devotes such a large portion of its pages to stylistics ! the whole book is worthwhile for the literary scholar.

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Book SynopsisThe first book to reveal the intensity of the relationship between Charles Babbage and Ada Lovelace; an outstanding contribution to historical STEM literature

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Book SynopsisThe only book that tells the whole story of the internet from its origins in the 1940s to the advent of the worldwide web at the dawn of the 21st centuryThe Internet is the most remarkable thing human beings have built since the Pyramids. John Naughton''s book intersperses wonderful personal stories with an authoritative account of where the Net actually came from, who invented it and why, and where it might be taking us. Most of us have no idea of how the Internet works or who created it. Even fewer have any idea of what it means for society and the future. In a cynical age, John Naughton has not lost his capacity for wonder. He examines the nature of his own enthusiasm for technology and traces its roots in his lonely childhood and in his relationship with his father. A Brief History of the Future is an intensely personal celebration of vision and altruism, ingenuity and determination and above all, of the power of ideas, passionately felt, to change the worl

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Book SynopsisBeginning Cryptography with Java While cryptography can still be a controversial topic in the programming community, Java has weathered that storm and provides a rich set of APIs that allow you, the developer, to effectively include cryptography in applications-if you know how. This book teaches you how.Table of ContentsAcknowledgments. Introduction. Chapter 1: The JCA and the JCE. Chapter 2: Symmetric Key Cryptography. Chapter 3: Message Digests, MACs, and HMACs. Chapter 4: Asymmetric Key Cryptography. Chapter 5: Object Description in Cryptography Using ASN.1. Chapter 6: Distinguished Names and Certificates. Chapter 7: Certificate Revocation and Path Validation. Chapter 8: Key and Certificate Management Using Keystores. Chapter 9: CMS and S/MIME. Chapter 10: SSL and TLS. Appendix A: Solutions to Exercises. Appendix B: Algorithms Provided by the Bouncy Castle Provider. Appendix C: Using the Bouncy Castle API for Elliptic Curve. Appendix D: Bibliography and Further Reading. Index.

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Book SynopsisFocuses on the basics of building a consulting business, discussing such issues as the creation of a marketing message, the design of a firm-wide delivery methodology, and the recruitment and retention of world-class sales and talent.Trade Review"…he intelligently observes his field and takes sound positions on almost everything." (Consulting to Management, Vol 15, no. 2; 6/1/2004) “…the essential first step in the path towards success as an IT services firm entrepreneur, manager, or consultant…” (mcsemag.eu.org March 20, 2003)Table of ContentsAcknowledgments. Preface. ONE: What Is the IT Consulting Business? The Size and Shape of the Business. The Range of Service Possibilities. Common Elements. TWO: The Structure of the Practice. Sole Proprietor. Partnership. Corporation. Elements in Common. Putting It All Together. Interview with Ken Taormina. THREE: The Basic Financial Model. Utilization. Rate. Fee Capacity. Measuring Performance. FOUR: Vision and Mission. Broad or Deep? Strategic Planning. The Planning Process. The Vision Thing. From Products to Services. The Lessons of Migration. FIVE: Process and Methodology. A Sales Planning Process. A Proposal Process. A Scope of Work Standard. A Stakeholder Participation Process. A Risk Analysis Process. A Project Planning Process. A Status Reporting Process. A Set of Solution-Specific Toolkits. A Change Management Process. An Issues Management Process. A Post-Project Review to Assess Customer Satisfaction and Gather Lessons. Interview with Malcolm Frank. SIX: Sales and Marketing. Challenges. The Four R's of Service Marketing. Selling the Intangible. Interview with Andrew Bibby. SEVEN: Organizational Culture. Recruiting for Attitude and Motivation. Ethics and Professional Responsibility. Accountability. Open Book Management. Coaching and Mentoring. Atmosphere. EIGHT: Consultant Development. Technical Training. Project Skills Development. Communication and Advisory Skills Development. Business Skills Development. Project Assignments. Mentoring. NINE: Growing and Improving the Firm. Growing the Firm. Improving the Firm. TEN: Conclusion. Bibliography. About the Author. Index.

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Book SynopsisAnd they show how, by the 1990s, the research results had been assimilated into systems both for the military and for civilian society.Trade ReviewSolid and informative... An important contribution to the history of computing. Science An important contribution to both science-policy literature and the history of computing. It will find an appreciative readership in the technology-policy community, in innovation studies, and in computer science. Computing ReviewsTable of ContentsPreface and AcknowledgmentsList of Frequently Used AcronymsIntroduction1. Managing for Technologial Innovation2. Sharing Time3. Getting the Picture: The Growth of Interactive Computer Graphics4. Imporving Connections among Researchers: The Development of Packet-Switching Computer Networks5. The Search for Intelligent Systems6. Serving the Department of Defense and the NationAppendix: List of interview SubjectsNotesIndex

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Book SynopsisThe increasingly sophisticated and powerful information technology we are creating plays an ever more prominent role in facilitating interaction and cooperation in everyday life. The time has come to harness it in the service of scientific research. This pathbreaking book describes the technical and social challenges and opportunities of electronic collaboration and offers specific examples of the ways in which it has not only facilitated but in some cases enabled work by scientists. Key players all, the chapter authors illuminate the general issues with their first-hand accounts. Very few researchers today can work in isolation. Electronic Collaboration in Science provides the first clear road map for all whose investigations are leading them into this fascinating new multidisciplinary domain.Table of ContentsContents: W.A. Wulf, Foreword. S.H. Koslow, M.F. Huerta, Preface. G.M. Olson, T.A. Finholt, S.D. Teasley, Behavioral Aspects of Collaboratories. D.L. Burk, Intellectual Property Issues in Electronic Collaborations. P.M.D. Gray, G.J.L. Kemp, Federated Database Technology for Data Integration: Lessons From Bioinformatics. G. Cameron, P. Rogriguez-Tomé, R. Apweiler, Electonic Collaboration in Molecular Biology. R.T. Kouzes, Electronic Collaboration in Environmental and Physical Science Research. F.E. Bloom, W.G. Young, Electonic Collaboration: Implications for Neurosciences.

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Book SynopsisProbes the development of information management after World War II and its consequences for public memory and human agency. Nathan Johnson charts turning points where concepts of memory became durable in new computational technologies and modern memory infrastructures took hold.Trade ReviewArchitects of Memory is poised to make an original and important contribution to the interdisciplinary study of the rhetorics of public memory and information science. Johnson is at his best when illuminating the actual techniques of public memory - the hard, everyday material ways in which key arbiters organize public memory." - Timothy Barney, author of Mapping the Cold War: Cartography and the Framing of America's International PowerTable of Contents List of Figures Acknowledgments Introduction Chapter 1. Building Memory's Infrastructure Chapter 2. A Universal Memory Machine Intermezzo: Exorcising the Library Spirit: Library Labor as a TechnÊ of Memory Chapter 3. Hybrid Memory Labor Intermezzo: Calvin Mooers's Zatocodes Chapter 4. Memory Conflicts Intermezzo: Dorothy Crosland's Book Truck Chapter 5. Memory's Coin Chapter 6. Memory's Infrastructure Notes References Index

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Book SynopsisRevised and expanded guide demonstrates microcomputer usage by working through one simple design challenge and explaining its solution. This edition features the contributions of an Ada expert, demonstrates (in 14 new chapters) the development of a microcomputer system structured by this language, a

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Book SynopsisThe U.S. Coast Guard needs to measure its operational-level performance effectively. To assist this effort, the authors created logic models detailing elements of the Coast Guard''s 11 missions. After identifying and assessing the validity, reliability, and feasibility of relevant existing metrics, the authors go on to propose potential metrics that could improve on or complement existing metrics, as well as a framework for applying the metrics.

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Book SynopsisIn the competitive business arena companies must continually strive to create new and better products faster, more efficiently, and more cost effectively than their competitors to gain and keep the competitive advantage. Computer-aided design (CAD), computer-aided engineering (CAE), and computer-aided manufacturing (CAM) are now the industry standard. These seven volumes give the reader a comprehensive treatment of the techniques and applications of CAD, CAE, and CAM.Table of ContentsLong-Range Planning of Chemical Manufacturing Systems. Feature-Based Design in Integrated Manufacturing. Flexible Factory Layouts: Issues in Design, Modeling, and Analysis. Structural Control of Large-Scale Flexibility Automated Manufacturing Systems. The Design of Human-Centered Manufacturing Systems. Model-Based Flexible PCBA Rework Cell Design. Model of Conceptual Design Phase and its Applications in the Design of Mechanical Drive Units. Computer Assembly Planners in Manufacturing Systems and their Applications in Aircraft Frame Assemblies. Petri Net Modeling in Flexible Manufacturing Systems with Shared Resources.

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Book SynopsisIn the competitive business arena companies must continually strive to create new and better products faster, more efficiently, and more cost effectively than their competitors to gain and keep the competitive advantage. Computer-aided design (CAD), computer-aided engineering (CAE), and computer-aided manufacturing (CAM) are now the industry standard. These seven volumes give the reader a comprehensive treatment of the techniques and applications of CAD, CAE, and CAM.Table of ContentsKnowledge-Based System in the Design, Implementation, and Validation of Resource Scheduling on the Shop Floor of Manufacturing Systems. Neural Network Systems Techniques in the Intelligent Control of Chemical Manufacturing Plants. Rule-Based Expert System for Designing Flexible Manufacturing Systems. Tool Condition Monitoring in Manufacturing System Machine Tools Using Neural Networks. Intelligent Real-Time Expert System Environment in Process Control. Adaptive Neuro-Fuzzy Control Methods for Milling Operations in Manufacturing Systems. Instrumental Robots Design with Applications to Manufacturing. Object-Oriented Techniques and Automated Methods for Robotic Assembly in Manufacturing Systems. CAD-Based Techniques in Task Planning and Programming of Robots in Computer Integrated Manufacturing. Physical Model Techniques for Design of Robotic Manipulators in Manufacturing Systems.

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Book SynopsisIn Offshore Software Development: Making It Work, hands-on managers of Offshore solutions help you answer these questions:What is Offshore and why is it an IT imperative? What do you need to do to successfully evaluate an Offshore solution? How do you avoid common pitfalls? How do you confront security and geopolitical risk? How do you handle issues related to displaced workers? The author applies her considerable experience in the analysis of such Offshore issues as the financial growth of the Offshore industry, keys to success in initiating a program, choosing and managing vendors, risk mitigation, and employee impacts. A detailed program checklist outlines the steps for successful Offshore execution, providing real-world exposure and guidance to a movement that has become a fixture in the IT realm. About the AuthorTandy Gold is a 20-year veteran of the technology industry who is focused on entrepreneuTable of ContentsTHE OFFSHORE IMPERATIVE. Crunching the offshore numbers: What the financials portend. Getting started in offshore. Choosing an offshore vendor: A look at the offshore maturity model. A HANDS-ON OFFSHORE PROGRAM MANAGEMENT TOOLKIT. Choosing locations for offshore: Country pros and cons. The offshore program checklist: What's really different? THE OFFSHORE PROGRAM CHALLENGE. Managing employee impact: Villain or savior? Managing risk through an offshore network security architecture. Putting it all together: Top 10 Do's and Don'ts of Offshore.

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Book SynopsisThe Industrial Information Technology Handbook focuses on existing and emerging industrial applications of IT, and on evolving trends that are driven by the needs of companies and by industry-led consortia and organizations. Emphasizing fast growing areas that have major impacts on industrial automation and enterprise integration, the Handbook covers topics such as industrial communication technology, sensors, and embedded systems.The book is organized into two parts. Part 1 presents material covering new and quickly evolving aspects of IT. Part 2 introduces cutting-edge areas of industrial IT. The Handbook presents material in the form of tutorials, surveys, and technology overviews, combining fundamentals and advanced issues, with articles grouped into sections for a cohesive and comprehensive presentation. The text contains 112 contributed reports by industry experts from government, companies at the forefront of development, and some of the most renowned academicTrade Review"I do not hesitate to recommend this new attractive handbook to a wide audience of engineering educators, students, and engineers in industry who are interested in Industrial IT." Industrial Electronics Society Newsletter, Vol.52, No.2, 2005Table of ContentsFUNDAMENTALS OF INFORMATION TECHNOLOGY. Computer software and web technologies. The Internet and IP networks. INDUSTRIAL INFORMATION TECHNOLOGY. Industrial Communication Systems. The Internet, web, and IT technologies in industrial automation and design. Intelligent sensors and sensor networks. Real-Time embedded systems. Integration technologies.

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Book SynopsisPerformance Assurance for IT Systems emphasizes the importance of addressing performance and technology-related issues from the beginning of the planning process, at the feasibility and bid stages. It promotes the concept of Performance Assurance throughout the entire system lifecycle, covering technology, relevant processes, and people-related topics. This accessible, jargon-free book shows how to meet the increasing pressure to deliver proposals and systems in shorter timescales, emphasizing pragmatic, cost-effective, and well-designed systems. The book consists of two major parts: Part I covers the processes deployed throughout the system lifecycle, including the choice of technologies, client requirements, sizing, stress testing, and capacity management; Part II provides a technology foundation made up of brief primers on hardware and software technologies, discussing key factors that influence performance and helping management make informed decisions on technical risk.Table of ContentsINDIVIDUAL AREAS OF INTEREST. Preparing for the challenge. Caveat emptor. Lies, damned lies, and benchmarks. Non-functional requirements and solutions. Hardware sizing: The crystal ball gazing act. Bid logistics. Designing for performance, scalability, and resilience. Awareness of queues. Non-functional acceptance. Post-production. Softer issues. So what? TECHNOLOGY FOUNDATION. Introduction to technology tasters. Operating systems. CPU basics. Memory. Hard disk basics. Server infrastructure. Multiprocessors (shared memory). Hard disk: Fibre Channel, SAN and NAS. File access basics. Relational database basics. Back-end server clusters. Network basics. Firewalls. Server load balancing. Web server and cache server. LDAP server. Modern server-side development technologies.

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Book SynopsisAlthough programming in memory-restricted environments is never easy, this holds especially true for digital signal processing (DSP). The data-rich, computation-intensive nature of DSP makes memory management a chief and challenging concern for designers. Memory Management for Synthesis of DSP Software focuses on minimizing memory requirements during the synthesis of DSP software from dataflow representations. Dataflow representations are used in many popular DSP design tools, and the methods of this book can be applied in that context, as well as other contexts where dataflow is used.This book systematically reviews research conducted by the authors on memory minimization techniques for compiling synchronous dataflow (SDF) specifications. Beginning with an overview of the foundations of software synthesis techniques from SDF descriptions, it examines aggressive buffer-sharing techniques that take advantage of specific and quantifiable tradeoffs between code size and buffer Table of ContentsIntroduction. Notation and Background. Lifetime Analysis. Dynamic Storage Allocation. The CBP Parameter. Buffer Sharing via Merging Techniques. Buffer Merging Algorithms. Beyond Single Appearance Schedules. Conclusion. References. Index.

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Book SynopsisThe pervasiveness of software in business makes it crucial that software engineers and developers understand how software development impacts an entire organization. Strategic Software Engineering: An Interdisciplinary Approach presents software engineering as a strategic, business-oriented, interdisciplinary endeavor, rather than simply a technical process, as it has been described in previous publications.The book addresses technical, scientific, and management aspects of software development in a way that is accessible to a wide audience. It provides a detailed, critical review of software development models and processes, followed with a strategic assessment of how process models evolved over time and how to improve them. The authors then focus on the relation between problem-solving techniques and strategies for effectively confronting real-world business problems. They also analyze the impact of interdisciplinary factors on software development, including the role of peopTable of ContentsThe process and its models. Strategies for solving software problems. Interdisciplinary factors in software development.

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Book SynopsisFor the new millenium, Wai-Kai Chen introduced a monumental reference for the design, analysis, and prediction of VLSI circuits: The VLSI Handbook. Still a valuable tool for dealing with the most dynamic field in engineering, this second edition includes 13 sections comprising nearly 100 chapters focused on the key concepts, models, and equations.Written by a stellar international panel of expert contributors, this handbook is a reliable, comprehensive resource for real answers to practical problems. It emphasizes fundamental theory underlying professional applications and also reflects key areas of industrial and research focus.WHAT'S IN THE SECOND EDITION?Sections onâ Low-power electronics and design VLSI signal processing Chapters onâ CMOS fabrication Content-addressable memory Compound semiconductor RF circuits HighTrade Review"It is easily the most complete source of information on VLSI available." – Books-On-Line, March 2007 Table of ContentsVLSI Technology. Devices and Their Models. Low Power Electronics and Design. Amplifiers. Logic Circuits. Memory, Registers and System Timing. Analog Circuits. Microprocessor and ASIC. Testing of Digital Systems. Compound Semiconductor Integrated Circuit Technology. Design Automation. VLSI Signal Processing. Design Languages.

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Book SynopsisIt is essential for a corporation to not only survive but thrive in today's global outsourcing environment. The Insider's Guide to Outsourcing Risks and Rewards is a comprehensive and accessible resource that assists an organization in deciding whether it will benefit from pursuing-or not pursuing-such an endeavor. The author, an 18-year veteran of the IT industry, is an experienced consultant, software developer, manager, and entrepreneur. Providing an authoritative and unbiased view, he helps the reader navigate through a number of offshore outsourcing issues related to software management and international business. He examines the potential benefits derived from offshore outsourcing, as well as the possible pitfalls and how to avoid them as they apply to an organization's particular situation.Offering a unique combination of technical and political insight, The Insider's Guide to Outsourcing Risks and Rewards is the one resource to have when trying to figure out Table of ContentsIntroduction. Drivers. Costs. Countries. Partners. Stakeholders. Business Architectures. Selecting Suitable Projects. Contracts. Espionage.

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Book SynopsisThis book is a small contribution towards the development of a more user-centred approach to information technology design methods. It discusses the job design and organisational change issues in the planning domain when information technology systems are being contemplated.Table of Contents1. The Challenge of Information Technology 2. The Achievement of Benefits from Information Technology 3. Systems Design Methods and Organisational change 4. Towards the Socio- Technical Design of Information Technology Systems 5. Designing the Design and Implementation Process 6. Specifying the System 7. Organisational Change and Job Design 8. Designing the Technical System for Human Use 9. Implementation and Support 10. User Evaluation 11. Information Technology Strategies

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Book SynopsisThe crisis is upon us: We have no viable doctrine for tomorrow's wars. Now that the world has entered the information age, principles that have served to enlighten the art of war no longer work. Born of agrarian times and honed during the industrial age, the classical principles of war are, in large part, hopelessly outdated. Radical change is needed now. The Principles of War for the Information Age provides a prescription for this change.

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Book SynopsisDid you ever try getting Business and IT to agree on the project scope for a new application? Or try getting the Sales & Marketing department to agree on the target audience? Or try bringing new team members up to speed on the hundreds of tables in your data warehouse -- without them dozing off? You can be the hero in each of these and hundreds of other scenarios by building a High-Level Data Model. The High-Level Data Model is a simplified view of our complex environment. It can be a powerful communication tool of the key concepts within our application development projects, business intelligence and master data management programs, and all enterprise and industry initiatives. Learn about the High-Level Data Model and master the techniques for building one, including a comprehensive ten-step approach. Know how to evaluate toolsets for building and storing your models. Practice exercises and walk through a case study to reinforce your modelling skills.

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Book SynopsisIntroduction to Health Care Management is a concise, reader-friendly, introductory healthcare management book that covers a wide variety of healthcare settings, from hospitals to nursing homes and clinics. Filled with examples to engage the reader''s imagination, the important issues in healthcare management, such as ethics, cost management, strategic planning and marketing, information technology, and human resources, are all thoroughly covered. Guidelines and rubrics along with numerous case studies make this text both student-friendly and teacher friendly. It is the perfect resource for students of healthcare management, nursing, allied health, business administration, pharmacy, occupational therapy, public administration, and public health. Trade Review"Drs. Buchbinder and Shanks have done a masterful job in selecting topics and authors and putting them together in a meaningful and coherent manner. Each chapter of the book is designed to give the student the core content that must become part of the repertoire of each and every healthcare manager, whether entry level or senior executive. Each of the chapters and accompanying cases serve to bring to life what it means to be a truly competent healthcare manager."--Leonard H. Friedman, PhD, MPA, MPH, George Washington University, School of Public Health and Health Services I am very happy with Health Care Management and will be adopting it for a new course that I will be teaching. This is probably the best management text I have seen so far. I was thrilled to receive it."--Sally K. Fauchald, PhD, RN, Assistant Professor of Nursing, The College of St. Scholastica "A solid text that covers a wide range of management topics."--Michael H. Sullivan, Methodist University, Fayetteville, North Carolina

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Book SynopsisIn modern computer science, there exists no truly sequential computing system; and most advanced programming is parallel programming. This is particularly evident in modern application domains like scientific computation, data science, machine intelligence, etc. This lucid introductory textbook will be invaluable to students of computer science and technology, acting as a self-contained primer to parallel programming. It takes the reader from introduction to expertise, addressing a broad gamut of issues. It covers different parallel programming styles, describes parallel architecture, includes parallel programming frameworks and techniques, presents algorithmic and analysis techniques and discusses parallel design and performance issues. With its broad coverage, the book can be useful in a wide range of courses; and can also prove useful as a ready reckoner for professionals in the field.Table of ContentsList of Figures; Introduction; Concurrency and Parallelism; Why Study Parallel Programming; What is in this Book; 1. An Introduction to Parallel Computer Architecture; 1.1 Parallel Organization; SISD: Single Instruction, Single Data; SIMD: Single Instruction, Multiple Data; MIMD: Multiple Instruction, Multiple Data; MISD: Multiple Instruction, Single Data; 1.2 System Architecture; 1.3 CPU Architecture; 1.4 Memory and Cache; 1.5 GPU Architecture; 1.6 Interconnect Architecture; Routing; Links; Types and Quality of Networks; Torus Network; Hypercube Network; Cross-Bar Network; Shuffle-Exchange Network; Clos Network; Tree Network; Network Comparison; 1.7 Summary; 2. Parallel Programming Models; 2.1 Distributed-Memory Programming Model; 2.2 Shared-Memory Programming Model; 2.3 Task Graph Model; 2.4 Variants of Task Parallelism; 2.5 Summary; 3. Parallel Performance Analysis; 3.1 Simple Parallel Model; 3.2 Bulk-Synchronous Parallel Model; BSP Computation Time; BSP Example; 3.3 PRAM Model; PRAM Computation Time; PRAM Example; 3.4 Parallel Performance Evaluation; Latency and Throughput; Speed-up; Cost; Efficiency; Scalability; Iso-efficiency; 3.5 Parallel Work; Brent's Work-Time Scheduling Principle; 3.6 Amdahl's Law; 3.7 Gustafson's Law; 3.8 Karp–Flatt Metric; 3.9 Summary; 4. Synchronization and Communication Primitives; 4.1 Threads and Processes; 4.2 Race Condition and Consistency of State; Sequential Consistency; Causal Consistency; FIFO and Processor Consistency; Weak Consistency; Linearizability; 4.3 Synchronization; Synchronization Condition; Protocol Control; Progress; Synchronization Hazards; 4.4 Mutual Exclusion; Lock; Peterson's Algorithm; Bakery Algorithm; Compare and Swap; Transactional Memory; Barrier and Consensus; 4.5 Communication; Point-to-Point Communication; RPC; Collective Communication; 4.6 Summary; 5. Parallel Program Design; 5.1 Design Steps; Granularity; Communication; Synchronization; Load Balance; 5.2 Task Decomposition; Domain Decomposition; Functional Decomposition; Task Graph Metrics; 5.3 Task Execution; Preliminary Task Mapping; Task Scheduling Framework; Centralized Push Scheduling Strategy; Distributed Push Scheduling; Pull Scheduling; 5.4 Input/Output; 5.5 Debugging and Profiling; 5.6 Summary; 6. Middleware: The Practice of Parallel Programming; 6.1 OpenMP; Preliminaries; OpenMP Thread Creation; OpenMP Memory Model; OpenMP Reduction; OpenMP Synchronization; Sharing a Loop's Work; Other Work-Sharing Pragmas; SIMD Pragma; Tasks; 6.2 MPI; MPI Send and Receive; Message-Passing Synchronization; MPI Data Types; MPI Collective Communication; MPI Barrier; MPI Reduction; One-Sided Communication; MPI File IO; MPI Groups and Communicators; MPI Dynamic Parallelism; MPI Process Topology; 6.3 Chapel; Partitioned Global Address Space; Chapel Tasks; Chapel Variable Scope; 6.4 Map-Reduce; Parallel Implementation; Hadoop; 6.5 GPU Programming; OpenMP GPU Off-Load; Data and Function on Device; Thread Blocks in OpenMP; CUDA; CUDA Programming Model; CPU–GPU Memory Transfer; Concurrent Kernels; CUDA Synchronization; CUDA Shared Memory; CUDA Parallel Memory Access; False Sharing; 6.6 Summary; 7. Parallel Algorithms and Techniques; 7.1 Divide and Conquer: Prefix-Sum; Parallel Prefix-Sum: Method 1; Parallel Prefix-Sum: Method 2; Parallel Prefix-Sum: Method 3; 7.2 Divide and Conquer: Merge Two Sorted Lists; Parallel Merge: Method 1; Parallel Merge: Method 2; Parallel Merge: Method 3; Parallel Merge: Method 4; 7.3 Accelerated Cascading: Find Minima; 7.4 Recursive Doubling: List Ranking; 7.5 Recursive Doubling: Euler Tour; 7.6 Recursive Doubling: Connected Components; 7.7 Pipelining: Merge-Sort; Basic Merge-Sort; Pipelined Merges; 4-Cover Property Analysis; Merge Operation per Tick; 7.8 Application of Prefix-Sum: Radix-Sort; 7.9 Exploiting Parallelism: Quick-Sort; 7.10 Fixing Processor Count: Sample-Sort; 7.11 Exploiting Pa

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Book SynopsisBased on the authors' own teaching experience, this text introduces random graphs and networks, covering all the basic features before discussing the growth and structure of real-world networks. It can be used as a textbook for a one-semester course at advanced undergraduate or graduate level.Trade Review'Random Graphs and Networks: A First Course' is a wonderful textbook that covers a remarkable set of topics written by two leading experts in the field. The textbook is comprehensive and contains a wealth of theoretical preliminaries, exercises and problems, making it ideal for an introductory course or for self-study. It is the best starting point in the present textbook market for any university student interested in the foundations of network science.' Charalampos E. Tsourakakis, Boston UniversityTable of ContentsConventions/Notation; Part I. Preliminaries: 1. Introduction; 2. Basic tools; Part II. Erdos–Rényi–Gilbert Model: 3. Uniform and binomial random graphs; 4. Evolution; 5. Vertex degrees; 6. Connectivity; 7. Small subgraphs; 8. Large subgraphs; 9. Extreme characteristics; Part III. Modeling Complex Networks: 10. Inhomogeneous graphs; 11. Small world; 12. Network processes; 13. Intersection graphs; 14. Weighted graphs; References; Author index; Main index.

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Book SynopsisBringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject.Trade Review'A fantastic addition as an introductory textbook for computational physics. The book is timely, and the author made thoughtful and, in my view, many wise choices. The book is comprehensive and yet accessible to undergraduate students.' Shiwei Zhang, the Flatiron Institute and the College of William & Mary'Gezerlis' book Numerical Methods in Physics with Python is a beautiful example of how an established subject can be brought to the next level by making it very accessible and by introducing several insightful and interdisciplinary applications. This second edition considerably extends the set of exercises, resulting in an extremely useful resource for both students and teachers. Strongly recommended!' Sonia Bacca, Johannes Gutenberg-Universität Mainz'This new edition of Numerical Methods… is another great example of Gezerlis' passion for teaching and for doing so carefully and precisely. Especially welcome, in my view, are the addition of problems at the end of each chapter and the discussion of singular value decomposition (SVD) and Bayesian methods. The SVD is one of the crown jewels of linear algebra which modern students interested in machine learning will surely find beneficial. To physics, computer science, or engineering students mesmerized by the fast Fourier transform, Gezerlis' excellent explanation of it in Chapter 6 is likely to shed some light on the underlying divide-and-conquer algorithm, which is an essential classic.' Joaquin Drut, University of North Carolina at Chapel HillPraise for the first edition: 'I enthusiastically recommend Numerical Methods in Physics with Python by Professor Gezerlis to any advanced undergraduate or graduate student who would like to acquire a solid understanding of the basic numerical methods used in physics. The methods are demonstrated with Python, a relatively compact, accessible computer language, allowing the reader to focus on understanding how the methods work rather than on how to program them. Each chapter offers a self-contained, clear, and engaging presentation of the relevant numerical methods, and captivates the reader with well-motivated physics examples and interesting physics projects. Written by a leading expert in computational physics, this outstanding textbook is unique in that it focuses on teaching basic numerical methods while also including a number of modern numerical techniques that are usually not covered in computational physics textbooks.' Yoram Alhassid, Yale University'In Numerical Methods in Physics with Python by Gezerlis, one finds a resource that has been sorely missing! As the usage of Python has become widespread, it is too often the case that students take libraries, functions, and codes and apply them without a solid understanding of what is truly being done 'under the hood' and why. Gezerlis' book fills this gap with clarity and rigor by covering a broad number of topics relevant for physics, describing the underlying techniques, and implementing them in detail. It should be an important resource for anyone applying numerical techniques to study physics.' Luis Lehner, Perimeter Institute for Theoretical Physics'Gezerlis' text takes a venerable subject - numerical techniques in physics - and brings it up to date and makes it accessible to modern undergraduate curricula through a popular, open-source programming language. Although the focus remains squarely on numerical techniques, each new lesson is motivated by topics commonly encountered in physics and concludes with a practical hands-on project to help cement the students' understanding. The net result is a textbook which fills an important and unique niche in pedagogy and scope, as well as a valuable reference for advanced students and practicing scientists.' Brian Metzger, Columbia UniversityTable of ContentsPreface; 1. Idiomatic Python; 2. Numbers; 3. Derivatives; 4. Matrices; 5. Zeroes and minima; 6. Approximation; 7. Integrals; 8. Differential equations; Appendix A. Installation and setup; Appendix B. Number representations; Appendix C. Math background; Bibliography; Index.

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