Computer modelling and simulation Books
Springer Vieweg Flexibilitätspotenziale Heben - It-Wertbeitrag
Book Synopsis
£11.77
Springer Fachmedien Wiesbaden Virtual Reality in der Produktentwicklung:
Book SynopsisDie virtuelle Entwicklung ist als wesentlicher Bestandteil im Entwicklungsprozess neuer Produkte etabliert. Virtual Reality (VR) – ein Teilbereich der virtuellen Entwicklung – bietet die Möglichkeit, durch schnelle Visualisierung und freie Interaktion die Designfindung zu unterstützen, Ergonomie- und Montageuntersuchungen durchzuführen sowie Entwicklungsstände frühzeitig auf Fehler zu untersuchen. Martin Rademacher entwickelt ein Vorgehensmodell, mit dem sich die Einsatzfähigkeit der VR für Fragestellungen im automobilen Entwicklungsprozess in einem nutzer- und aufgabenzentrierten Kontext untersuchen lässt und wendet es auf den Aufgabenbereich „Absicherung der Anmutung und Qualität“ in einem Automobilunternehmen an.Table of ContentsVirtual Reality.- Produktentwicklungsprozess.- Akzeptanz und Usability.- Usability Engineering von Virtual Reality.- Vorgehensmodell zur Evaluation von VR-Arbeitssystemen.
£58.49
Springer Fachmedien Wiesbaden Methodik zur Fabriksystemmodellierung im Kontext
Book SynopsisHendrik Hopf entwickelt eine Methodik zur Fabriksystemmodellierung im Kontext von Energie- und Ressourceneffizienz (FSMER), welche ein planungsunterstützendes Werkzeug für die nachhaltigkeitsorientierte Fabrikplanung darstellt. Die Methodik setzt sich aus einem Metamodell, vier Fabriksystemkonzepten, einem Referenzmodell sowie einem Vorgehensmodell zusammen. Ziel ist es, die Fabrik ganzheitlich, methodisch und modellgestützt, mit Fokus auf die Zielgrößen Energie- und Ressourceneffizienz in frühen konzeptionellen Planungsphasen abzubilden, Wirkbeziehungen zu erklären sowie Potenziale zur Effizienzsteigerung aufzuzeigen. Komplexe Zusammenhänge einer Fabrik und die Auswirkungen von Planungsentscheidungen können somit in vereinfachter und grafisch orientierter Form dargestellt und beurteilt werden.Table of ContentsModellierung von Systemen.- Energie-/ressourceneffiziente Fabrik.- Fabriksystemkonzepte.- Referenzmodell des Fabriksystems.- Evaluation der Methodik.
£49.49
Springer Fachmedien Wiesbaden Stationäres und instationäres Betriebsverhalten
Book SynopsisBernhardt Lüddecke bietet einen umfassenden Einblick in Kennfeldvermessung und Berechnung von Abgasturboladern. Mit experimentellen und numerischen Untersuchungen zur Aero-Thermodynamik sowie zu Reibungsverlusten und Wärmeströmen verdeutlicht er die Eigenschaften dieser kompakten Maschinen. Mithilfe einer neuartigen Drehmoment-Messtechnik konnte der Autor erstmals kurbelwinkelaufgelöst das momentane Drehmoment einer Abgasturboladerturbine geringer Baugröße unter realen motorischen Bedingungen ermitteln. Die vorliegende Studie erlaubt es, auf ein quasi-stationäres Turbinenverhalten auch unter pulsierender Beaufschlagung zu schließen, was für aussagekräftige Simulationen aufgeladener Motoren von wesentlicher Bedeutung ist.Table of ContentsExperimentelle und numerische Untersuchungen an Verdichter- und Turbinenstufen von Abgasturboladern.- Modellierung von Wärmeströmen und Lagerreibleistung zur Kennfeldkorrektur.- Messverfahren für die Turbinenkennfeldermittlung am Heißgasprüfstand.- Motorzyklusaufgelöste, kontaktlose Messung des Turboladerwellendrehmoments mittels inverser Magnetostriktion.- Turbinenbetriebsverhalten unter stationären und pulsierenden Randbedingungen.
£49.49
Springer Fachmedien Wiesbaden Geschäftsprozesse: Von der Modellierung zur
Book SynopsisDas Buch vermittelt Konzepte, zeigt aktuelle Trends wie agile Methoden, stellt Anwendungsszenarien für die Modellierung und Implementierung von Geschäftsprozessen im Zeitalter der Digitalisierung vor. Das Herausgeberwerk basiert dabei auf Fragestellungen aus der unternehmerischen Praxis. Schwerpunkte sind innovative Analysemethoden, kontextsensitive und wissensintensive Geschäftsprozesse sowie aktuelle Ansätze bei der Umsetzung. Fallstudien runden das Buch ab. Es wendet sich sowohl an Berater und Projektverantwortliche als auch an Studierende und Lehrende.Table of ContentsTrends im Geschäftsprozessmanagement (GPM) - Analyse von Geschäftsprozessen - Kontextsensitive Geschäftsprozesse - Wissensintensive Geschäftsprozesse - Implementierung von Geschäftsprozessen - Fallstudien
£26.59
Springer Fachmedien Wiesbaden Einführung in die Verkehrssimulation: Ein
Book SynopsisMobilität dominiert unser Leben. Der Straßenverkehr ist sowohl Keimzelle als auch Lebensader unserer modernen Gesellschaft. Doch wie kann man diesen fassen, planen und berechnen? Während der öffentliche Nahverkehr zumeist vorgegebenen Strukturen folgt – wie zum Beispiel ein Zug seinen Schienen – wirken die Bewegungen des Individualverkehrs chaotisch für den außenstehenden Beobachter. Dieses essential bringt Ordnung in das Chaos und setzt sich mit der mikroskopischen Verkehrssimulation auseinander. Michael Moltenbrey konzentriert sich auf die Vermittlung eines sehr einfachen und rudimentären Verkehrsmodells, welches die Bewegungen einzelner Fahrzeuge abbildet. Auf den ersten Blick sind die Bewegungen der einzelnen Verkehrsteilnehmer unvorhersehbar. Auf den zweiten erkennt man wiederkehrende Strukturen und Muster, die helfen, das Gesamtkonzept Verkehr besser zu erfassen.Table of ContentsEinführung.- Was ist Verkehr?.- Welche Arten von Simulationen gibt es?.- Ein einfaches Zellularautomatenmodell.- Es geht auch schneller –Überholmanöver und Mehrspurigkeit. - Auf dem Weg zu einer Stadt – Kreuzungen und Ampeln.- Nicht nur Autos fahren – Heterogener Verkehr.- Gesamtmodell.- Diskussion und Ausblick.
£11.77
Springer Fachmedien Wiesbaden Mathematische Bildverarbeitung: Einführung in
Book SynopsisDieses Buch behandelt die mathematischen Aspekte der modernen Bildverarbeitungsmethoden. Besonderer Schwerpunkt liegt dabei auf der Präsentation von Grundideen und Konzepten. Es werden eine Vielzahl moderner mathematischer Methoden behandelt, welche zur Lösung wichtiger, grundlegender Probleme der Bildverarbeitung eingesetzt werden. Die Grundprobleme umfassen zum Beispiel Entrauschen, Scharfzeichnen, Kantenerkennung, Inpainting. Neben elementaren Methoden wie Punktoperationen, linearen oder morphologischen Filtern stellt das Buch insbesondere neuere Methoden wie partielle Differentialgleichungen und Variationsmethoden vor. Trade Review"[...] it belongs to the bookcase of any office where someone is doing research/application in image processing. It has the virtues of a good and handy reference manual." Zentralblatt MATH, 1220-2011Table of ContentsEinleitung: Was sind Bilder? Problemstellungen der klassischen Bildverarbeitung - Grundlegende Werkzeuge: Grauwerttransformationen. Glättungs- und Schärfungsmethoden. Lineare Filter. Morphologische Filter - Diskrete und kontinuierliche Betrachtungsweise: Interpolation. Die kontinuierliche Fourier-Transformation. Fourier-Reihen. Gefensterte Fourier-Transformation. Kontinuierliches Filtern und die Wärmeleitungsgleichung - Axiomatische Bildverarbeitung: Skalenraum-Axiome. Beispiele für Multiskalen-Analysen. Grundlegende Theorie. Die Standard PDE-Modelle - Variationsmethoden: Motivation und Vorbemerkungen. Anwendungen
£28.49
Springer Verlag, Singapore Catastrophes and Unexpected Behavior Patterns in
Book SynopsisA major objective of this monograph is to present an agent-based simulation of artificial populations. The focus is on possible unexpected or catastrophic events that may spontaneously appear in simulations. A short recall of the tenets of the theory of catastrophes is given. Several examples of artificial society simulations are provided as the main topic of the book. With agent-based modeling, possible catastrophes and unexpected events in artificial populations are simulated. The book presents a new modeling and simulation tool, applied to social system simulation. The models are coded in the object- and agent-oriented language Bluesss (Blues Simulation System), related to the C++ language. The program code consists of a series of generic declarations of processes. Each of them includes a number of events that are coded in C++. At the runtime, a population of objects is generated. All the objects (agents) start to execute their own events, and interact with one another. During the simulations it is possible to observe the macro-behavior of the population, where some unexpected or "catastrophic" events occur. The examples include a stock market crash, catastrophes in extended prey–predator systems, growing organisms and cancer, epidemics, social inequality and economic decay, mass-service systems, and more. Remarks on possible simultaneous events are also included.Table of ContentsPreface.- Chapter 1. Catastrophes and agent-based models.- Chapter 2. BLUESSS simulation package.- Chapter 3. Behavior patterns of an artificial society.- Chapter 4. Extended prey-predator model.- Chapter 5. Stock market: Uncertainty and catastrophes.- Chapter 6. Epidemics.- Chapter 7. Growing organism and cancer.- Chapter 8. Work, salary and Gini.- Chapter 9. Waiting lines.- Chapter 10. Simultaneous events, semi-discrete events and chicken.- Index.
£89.99
Springer Verlag, Singapore Recent Trends in Engineering Design: Select
Book SynopsisThis book presents the select proceedings of the 3rd International Conference on Computational and Experimental Methods in Mechanical Engineering (ICCEMME 2020). The book discusses the recent researches and concrete findings in the field of mechanical design and automation with its allied branches. Various topics covered in this book include modeling and simulation, application of modelling to complex real-world systems, application of machine or deep learning in mechanical problems, artificial intelligence, vehicle design, robotics, vehicle dynamics and control, biomechanics, and vibration-related problems. Given its content, the book will be useful for beginners, researchers, and professionals interested in the field of mechanical engineering. Table of ContentsBondgraph Analysis of Dynamic Interaction between the Concrete Slab and Subgrade for High Speed Track.- Identification of Damping in Sandwich Beam.- Effect of Groove Dimensions on Pressure Profile of Twin Axial Groove Hybrid Journal Bearing.- Method of Obtaining Planar State of Stress Using Mohr’s Circle- Some Typical cases.- Computational modeling of bubble formation on submerged orifice.- Design and Development of a Multivariant Exercise Ma-chine (MEM) for the patients suffering from spine-related problems.- Parametric Study and Optimization in Deep Drawing of Head light Reflector.- Numerical Simulation of a Race Car Wing Operating in the Wake of Leading Vehicle with Varying Diffuser Angles.
£179.99
Springer Verlag, Singapore Mathematical Modeling, Computational Intelligence
Book SynopsisThis book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, and applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the Second International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2021),” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics. The book provides innovative works of researchers, academicians, and students in the area of interdisciplinary mathematics, statistics, computational intelligence, and renewable energy.Table of ContentsStrongly Prime Radicals and S-primary Ideals in Posets.- Association Schemes over Some Finite Group Rings.- Rings whose nonunits are multiple of unit and strongly nilpotent element.- Improved Lower Bounds on Second Order Nonlinearities of Cubic Boolean Functions.- Ces`aro-Riesz Product Summability φ − |C1R; δ|q Factor for an Infinite Series.- Ostrowski’s Type Inequalities with Exponentially Convex Functions and its Applications
£161.99
Springer Verlag, Singapore Quality of Work-Life During Pandemic: Data
Book SynopsisThis book is focused on the impact of the COVID-19 pandemic on different sectors, i.e., education, real estate, health, and agriculture. The lockdown has been announced to control the spread of COVID-19 infections, however people/industries/organizations were not ready for lockdown and it has greatly affected their growth. The front workers in the healthcare sector suffered a lot as major responsibilities they needed to carry on. The education sector is also hampered due to the pandemic as schools, colleges were closed and teaching, examinations were carried out on online platforms. These platforms were new to teachers as well as students. The real estate sector faced tremendous loss in this pandemic as people were scared and no one ready to invest their money in such an uncertain time. The agriculture filed is also suffered as raw materials required for agriculture were not available readily due to pandemic. This book presents a survey that is conducted to understand the impact of COVID-19 on the quality of work-life in various sectors. The survey is focused majorly on four sectors, i.e. education, healthcare, real estate and agriculture. Data analysis is done based on responses of survey and mathematical modeling is provided for each case study.Table of ContentsIntroduction.- Data Analysis and Mathematical Modeling for Covid-19 Pandemic.- Influence of Covid-19 on Quality of Work Life in Real Estate Sector.- Influence of Covid-19 on Quality of Work Life in Education Sector.- Influence of Covid-19 on Quality of Work Life in Information Technology/ Software Industries.- Influence of Covid-19 on Quality of Work Life in Agriculture Sector.
£116.99
Springer Verlag, Singapore Overhang Design Methods: Optimal Thermal and
Book SynopsisIt is estimated that windows in office buildings are responsible for one third of energy used for their heating and cooling. Designing window shading that balances often contradictory goals of preventing excessive heat gains in hot periods, without compromising beneficial heat gains in cold periods or visual comfort in indoor spaces of modern buildings with highly glazed facades, is an interesting multi-objective optimisation problem that represents an active research topic in the field of building energy and daylighting. Window overhangs are the simplest and most traditional shading devices that are easy to install, highly cost-effective, require low or no maintenance and offer unobstructed views outside. This book provides a review of overhang design methods for optimal thermal and daylighting performance. It starts with a historical overview of methods based on solar positions and shading masks. Next it discusses current research methodology, including shading calculation methods, ways of quantifying thermal and daylighting overhang effectiveness and the use of multi-objective optimisation approaches, together with the case studies that employ them. It further covers methods for designing innovative overhang types such as NURBS outlined overhangs and PV integrated dynamic overhangs. The appendix classifies published overhang case studies according to major climate type and latitude of their locations. As such, the book presents a valuable resource for understanding subtle nuances of interaction between solar radiation, shading devices and indoor comfort. The intended target audience are building energy researchers interested in optimisation of window shading devices.Table of ContentsChapter 1. Introduction.- Chapter 2 Solar path methods.- Chapter 3 Current overhang research methodology.- Chapter 4 Design methods for particular overhang types.- Chapter 5 A Locations and climates of overhang case studies.- References
£37.99
Springer International Publishing AG Pyomo — Optimization Modeling in Python
Book SynopsisThis book provides a complete and comprehensive guide to Pyomo (Python Optimization Modeling Objects) for beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. Using many examples to illustrate the different techniques useful for formulating models, this text beautifully elucidates the breadth of modeling capabilities that are supported by Pyomo and its handling of complex real-world applications. This second edition provides an expanded presentation of Pyomo’s modeling capabilities, providing a broader description of the software that will enable the user to develop and optimize models. Introductory chapters have been revised to extend tutorials; chapters that discuss advanced features now include the new functionalities added to Pyomo since the first edition including generalized disjunctive programming, mathematical programming with equilibrium constraints, and bilevel programming.Pyomo is an open source software package for formulating and solving large-scale optimization problems. The software extends the modeling approach supported by modern AML (Algebraic Modeling Language) tools. Pyomo is a flexible, extensible, and portable AML that is embedded in Python, a full-featured scripting language. Python is a powerful and dynamic programming language that has a very clear, readable syntax and intuitive object orientation. Pyomo includes Python classes for defining sparse sets, parameters, and variables, which can be used to formulate algebraic expressions that define objectives and constraints. Moreover, Pyomo can be used from a command-line interface and within Python's interactive command environment, which makes it easy to create Pyomo models, apply a variety of optimizers, and examine solutions.Trade Review“This book provides a detailed guide to Pyomo for beginners and advanced users from undergraduate students to academic researchers to practitioners. … the book is a good software guide which I strongly recommend to anybody interested in looking for an alternative to commercial modeling languages in general or in learning or intensifying their Pyomo skills in particular.” (Christina Schenk, SIAM Review, Vol. 61 (1), March, 2019)Table of Contents1. Introduction.- Part I. An Introduction to Pyomo.- 2. Mathematical Modeling and Optimization.- 3. Pyomo Overview.- 4. Pyomo Models and Components.- 5. The Pyomo Command.- 6. Data Command Files.- Part II. Advanced Features and Extensions.- 7. Nonlinear Programming with Pyomo.- 8. Structured Modeling with Blocks.- 9. Generalized Disjunctive Programming.- 10. Stochastic Programming Extensions.- 11. Differential Algebraic Equations.- 12. Mathematical Programs with Equilibrium Constraints.- 13. Bilevel Programming.- 14. Scripting.- A. A Brief Python Tutorial.- Index.
£45.99
Elsevier Science Numerical Modelling of Wave Energy Converters
Table of Contents1. Introduction I - WAVE ENERGY CONVERTER MODELLING TECHNIQUES BASED ON LINEAR HYDRODYNAMIC THEORY 2. Frequency-Domain Models 3. Time-Domain Models 4. Spectral-Domain Models II - OTHER WAVE ENERGY CONVERTER MODELLING TECHNIQUES 5. Nonlinear Potential Flow Models 6. Computational Fluid Dynamics (CFD) Models 7. Identifying Models Using Recorded Data III - WAVE ENERGY CONVERTER ARRAY MODELLING TECHNIQUES 8. Conventional Multiple Degree-of-Freedom Array Models 9. Semi-analytical Array Models 10. Phase-Resolving Wave Propagation Array Models 11. Phase-Averaging Wave Propagation Array Models IV - APPLICATIONS FOR WAVE ENERGY CONVERTER MODELS 12. Control Optimisation and Parametric Design 13. Determining Mean Annual Energy Production 14. Determining Structural and Hydrodynamic Loads 15. Environmental Impact Assessment
£92.70
Taylor & Francis Cultures of Prediction in Atmospheric and Climate Science Epistemic and Cultural Shifts in Computerbased Modelling and Simulation Routledge Environmental Humanities
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£43.99
Taylor & Francis Ltd Modelling Hydrology Hydraulics and Contaminant Transport Systems in Python
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£104.50
Taylor & Francis Ltd Industrial Applications of Molecular Simulations
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£58.89
Taylor & Francis Ltd Realtime Simulation for Sustainable Production Enhancing User Experience and Creating Business Value Routledge Advances in Production and Operations Management
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£128.25
Taylor & Francis Ltd Business Models
Book SynopsisSince the beginning of time, running a business has involved using logic by which the business operates. This logic is called the business model in management science, which increasingly is focusing on issues surrounding business models. Research trends related to business models include value creation, value chain operationalization, and social and ecological aspects, as well as innovation and digital transformation. Business Models: Innovation, Digital Transformation, and Analytics examines how innovation, digital transformation, and the composition of value affect the existence and development of business models. The book starts by addressing the conceptual development of business models and by discussing the essence of innovation in those models. Chapters in the book investigate how: Business models can analyze digital transformation scenarios Individual business model elements effect selected performance measures as well as Table of ContentsChapter 1. Innovation in Business Models. Chapter 2. Business Models in the Digital Transformation Era. Chapter 3. Value Composition for Business Models og High-Growth Enterprises. Chapter 4. The Variety of Aspects of Business Models in the High-Growth and High Tech Enterprises: An Estonian Case. Chapter 5. External Conditions of Profitability of Business Models of High-Growth Enterprises. Chapter 6. Analyzing the Employer Branding Business Models Based on Primary Research Results. Chapter 7. Models of Responsible Business: CSR from a Social and Economic Perspective. Chapter 8. Cyber Protection: Industrialized Assessments for Analyzing Cyber Risk. Chapter 9. Applied Data Analytics.
£42.74
Taylor & Francis From Models to Simulations
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£39.99
Taylor & Francis Ltd Industry 4.0 Solutions for Building Design and Construction
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£47.49
Taylor & Francis Ltd Industry 4.0 Solutions for Building Design and Construction
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£142.50
Taylor & Francis Ltd Simulation of Ecological and Environmental Models
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£47.49
Taylor & Francis Ltd Airport Building Information Modelling
Book SynopsisThis book details how Building Information Modelling is being successfully deployed in the planning, design, construction and future operation of the Istanbul New Airport, a mega-scale construction project incorporating a varying mix of infrastructures including terminals, runways, passenger gates, car parks, railways and roads. The book demonstrates how Airport Building Information Modelling (ABIM) is being used to: facilitate collaboration, cooperation and integrated project delivery manage subcontractors and eliminate cost over-runs reduce waste on site and enhance overall quality connect people in a virtual environment to encourage collaborative working provide clients with an effective interface for lifecycle management including: design development, construction documentation, construction phases and BIM and Big Data Integration for future facilities managementThe book presents a best practice BIM project, demonstrating concurrent eTable of Contents1INTRODUCTION2AIRPORT DESIGN AND CONSTRUCTION3AIRPORT BUILDING INFORMATION MODELLING4CONCURRENT DESIGN AND CONSTRUCTION WITH BIM5MOBILE BIM FOR THE AIRPORT CONSTRUCTION6KEY LEARNINGS ABOUT ABIM AND PAVING THE WAY FOR THE AIRPORT OPERATIONS 7CONCLUSION
£124.87
Taylor & Francis Ltd AgentBased Modeling of Environmental Conflict and
Book SynopsisConflict is a major facet of many environmental challenges of our time. However, growing conflict complexity makes it more difficult to identify win-win strategies for sustainable conflict resolution. Innovative methods are needed to help predict, understand, and resolve conflicts in cooperative ways.Agent-Based Modeling of Environmental Conflict and Cooperation examines computer modeling techniques as an important set of tools for assessing environmental and resource-based conflicts and, ultimately, for finding pathways to conflict resolution and cooperation. This book has two major goals. First, it argues that complexity science can be a unifying framework for professions engaged in conflict studies and resolution, including anthropology, law, management, peace studies, urban planning, and geography. Second, this book presents an innovative framework for approaching conflicts as complex adaptive systems by using many forms of environmental analysis, including Table of ContentsPart I: Conflict and the Promise of Conflict Modeling 1. Environmental Conflicts in a Complex World 2. Why Model? How Can Modeling Help Resolve Conflict? 3. The History and Types of Conflict Modeling 4. Participatory Modeling and Conflict Resolution Part II: Modeling Environmental Conflict 5. System Dynamics and Conflict Modeling 6. Agent-Based Modeling and Environmental Conflict 7. Modeling Conflict and Cooperation as Agent Action and Interaction Part III: Applications of the VIABLE Model Framework 8. A Viability Approach to Understanding Fishery Conflict and Cooperation 9. An Adaptive Dynamic Model of Emissions Trading 10. Modeling Bioenergy and Land Use Conflict 11. The Future of Modeling Environmental Conflict and Cooperation
£128.25
Cambridge University Press Computer Simulation in Brain Science
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£49.39
Cambridge University Press Scientific Models and Decision Making
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£47.49
Cambridge University Press Computing the Climate
Book SynopsisThis accessible, non-technical book reveals how, starting in the 1800s, scientists have used mathematical models and computer simulations to demonstrate that climate change is real and accelerating. Readers will learn where the key scientific ideas came from, how they were tested, and what future these models forecast for our planet.Trade Review'Numerical climate models are a critical tool for assessing the threat posed by climate change and investigating the options available to mitigate that threat. Yet, an understanding of these models-how they work, what they tell us, and how their tested and validated-has remained evasive for all but the most math and physics-literate. In Computing the Climate, computer scientist Steve Easterbook takes us on a journey through the world of climate modeling, making the science accessible to lay readers, and showing us why we should trust the models and heed their warnings, before it's too late.' Michael Mann, University of Pennsylvania, author of The New Climate War'Computing the Climate provides an impressively detailed history of how climate models evolved from simple equations calculated by hand to giant programs running on supercomputers. Avoiding jargon, this book explains to a general audience how the laws of physics and the principles of software engineering are combined to build climate models.' R. Saravanan, Texas A&M University, author of The Climate Demon'Computing the Climate takes a unique look at the history of computational modeling the Earth's climate system, the processes represented in these models, their evaluation, and how they are being used to project the potential changes in the future of our climate. When combined with more detailed analyses of concurrent issues being addressed in these models such as cloud and convection processes, this would be an excellent book for a university course on climate modeling.' Don Wuebbles, University of Illinois'I teach several courses in climate change and climate modeling for general and specialized audiences, and I am so excited to incorporate this new text by Easterbrook into those classes. While climate models are derived from first physical principles, climate models are developed by people and communities. I think that this book's approach of the tracing of revolutionary ideas and herculean efforts by generations of scientists to develop deep understanding and predictive capability for weather and climate does the topic justice. The logical progression of concepts, chapter by chapter is excellent as is the extensive, but not obtrusive, referencing throughout. Many difficult concepts, including: the greenhouse effect, chaos and predicability, computational instability, parallel computing, the difference between predictions and projections, are explained very well and accessibly. This book will be compelling reading both for students and people who simply want to know more.' Matthew Huber, Purdue University'Easterbrook's non-technical survey of climate modeling uniquely expands the climate change genre. Students will benefit from its broad scope and equation-free conceptual explanations, and climate modelers will appreciate its historical approach linking nineteenth century experiments and ideas to twenty-first century breakthroughs.' Baylor Fox-Kemper, Brown University'This is a very readable personal account of climate model development throughout history. It focuses on several individuals and modeling groups/countries. It often refers to 'you' and 'we'. I learned a lot and enjoyed the book, and I recommend it to anyone faced with making decisions involving the future climate.' Kevin Trenberth, University of Auckland, author of The Changing Flow of Energy Through the Climate System'This engaging, beautifully written book brings alive the scientists who created climate models, how they did it, and what the models can (and cannot) tell us - all in straightforward, nontechnical language and enlightening illustrations. If you want to understand how modern climate science works, start here.' Paul N. Edwards, Stanford University, author of A Vast Machine: Computer Models, Climate Data, and the Politics of Global WarmingTable of Contents1. Introduction; 2. The world's first climate model; 3. The forecast factory; 4. Taming chaos; 5. The heart of the machine; 6. The well-equipped physics lab; 7. Plug and play; 8. Sound science; 9. Choosing a future; References; Index.
£25.99
MIT Press Ltd An Introductory Course in Computational
Book Synopsis
£52.00
John Wiley & Sons Inc An Introduction to Statistical Computing
Book SynopsisA comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has opened up a wide range of techniques for studying otherwise intractable problems. Sampling-based simulation techniques are now an invaluable tool for exploring statistical models. This book gives a comprehensive introduction to the exciting area of sampling-based methods. An Introduction to Statistical Computing introduces the classical topics of random number generation and Monte Carlo methods. It also includes some advanced methods such as the reversible jump Markov chain Monte Carlo algorithm and modern methods such as approximate Bayesian computation and multilevel Monte Carlo techniques An Introduction to Statistical Computing: Fully covers the traditional topics of statistical computing. Discusses both practical aspects and the theoretical background. Includes a chapter about conTrade Review"The exposition is quite clear, intuitive, and is a useful complement to more abstract treatises on stochastic calculus and simulation." (MathSciNet, 1 December 2015) “Careful presentation and examples make this book accessible to a wide range of students and suitable for self-study or as the basis of a taught course.” (Zentralblatt MATH, 1 March 2014) “Statistical computing in its broadest sense is an ever-growing field far too extensive to be covered in a single text. The current book has a far more manageable scope, notwithstanding its title. Its focus is on the use of Monte Carlo methods to simulate random systems and explore statistical models.” (Mathematical Association of America, 1 January 2014) Table of ContentsList of algorithms ix Preface xi Nomenclature xiii 1 Random number generation 1 1.1 Pseudo random number generators 2 1.1.1 The linear congruential generator 2 1.1.2 Quality of pseudo random number generators 4 1.1.3 Pseudo random number generators in practice 8 1.2 Discrete distributions 8 1.3 The inverse transform method 11 1.4 Rejection sampling 15 1.4.1 Basic rejection sampling 15 1.4.2 Envelope rejection sampling 18 1.4.3 Conditional distributions 22 1.4.4 Geometric interpretation 26 1.5 Transformation of random variables 30 1.6 Special-purpose methods 36 1.7 Summary and further reading 36 Exercises 37 2 Simulating statistical models 41 2.1 Multivariate normal distributions 41 2.2 Hierarchical models 45 2.3 Markov chains 50 2.3.1 Discrete state space 51 2.3.2 Continuous state space 56 2.4 Poisson processes 58 2.5 Summary and further reading 67 Exercises 67 3 Monte Carlo methods 69 3.1 Studying models via simulation 69 3.2 Monte Carlo estimates 74 3.2.1 Computing Monte Carlo estimates 75 3.2.2 Monte Carlo error 76 3.2.3 Choice of sample size 80 3.2.4 Refined error bounds 82 3.3 Variance reduction methods 84 3.3.1 Importance sampling 84 3.3.2 Antithetic variables 88 3.3.3 Control variates 93 3.4 Applications to statistical inference 96 3.4.1 Point estimators 97 3.4.2 Confidence intervals 100 3.4.3 Hypothesis tests 103 3.5 Summary and further reading 106 Exercises 106 4 Markov Chain Monte Carlo methods 109 4.1 The Metropolis–Hastings method 110 4.1.1 Continuous state space 110 4.1.2 Discrete state space 113 4.1.3 Random walk Metropolis sampling 116 4.1.4 The independence sampler 119 4.1.5 Metropolis–Hastings with different move types 120 4.2 Convergence of Markov Chain Monte Carlo methods 125 4.2.1 Theoretical results 125 4.2.2 Practical considerations 129 4.3 Applications to Bayesian inference 137 4.4 The Gibbs sampler 141 4.4.1 Description of the method 141 4.4.2 Application to parameter estimation 146 4.4.3 Applications to image processing 151 4.5 Reversible Jump Markov Chain Monte Carlo 158 4.5.1 Description of the method 160 4.5.2 Bayesian inference for mixture distributions 171 4.6 Summary and further reading 178 4.6 Exercises 178 5 Beyond Monte Carlo 181 5.1 Approximate Bayesian Computation 181 5.1.1 Basic Approximate Bayesian Computation 182 5.1.2 Approximate Bayesian Computation with regression 188 5.2 Resampling methods 192 5.2.1 Bootstrap estimates 192 5.2.2 Applications to statistical inference 197 5.3 Summary and further reading 209 Exercises 209 6 Continuous-time models 213 6.1 Time discretisation 213 6.2 Brownian motion 214 6.2.1 Properties 216 6.2.2 Direct simulation 217 6.2.3 Interpolation and Brownian bridges 218 6.3 Geometric Brownian motion 221 6.4 Stochastic differential equations 224 6.4.1 Introduction 224 6.4.2 Stochastic analysis 226 6.4.3 Discretisation schemes 231 6.4.4 Discretisation error 236 6.5 Monte Carlo estimates 243 6.5.1 Basic Monte Carlo 243 6.5.2 Variance reduction methods 247 6.5.3 Multilevel Monte Carlo estimates 250 6.6 Application to option pricing 255 6.7 Summary and further reading 259 Exercises 260 Appendix A Probability reminders 263 A.1 Events and probability 263 A.2 Conditional probability 266 A.3 Expectation 268 A.4 Limit theorems 269 A.5 Further reading 270 Appendix B Programming in R 271 B.1 General advice 271 B.2 R as a Calculator 272 B.2.1 Mathematical operations 273 B.2.2 Variables 273 B.2.3 Data types 275 B.3 Programming principles 282 B.3.1 Don’t repeat yourself! 283 B.3.2 Divide and conquer! 286 B.3.3 Test your code! 290 B.4 Random number generation 292 B.5 Summary and further reading 294 Exercises 294 Appendix C Answers to the exercises 299 C.1 Answers for Chapter 1 299 C.2 Answers for Chapter 2 315 C.3 Answers for Chapter 3 319 C.4 Answers for Chapter 4 328 C.5 Answers for Chapter 5 342 C.6 Answers for Chapter 6 350 C.7 Answers for Appendix B 366 References 375 Index 379
£72.45
John Wiley & Sons Inc The Digital Patient
Book SynopsisA modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient The healthcare industry's emphasis is shifting from merely reacting to disease to preventing disease and promoting wellness. Addressing one of the more hopeful Big Data undertakings, The Digital Patient: Advancing Healthcare, Research, and Education presents a timely resource on the construction and deployment of the Digital Patient and its effects on healthcare, research, and education. The Digital Patient will not be constructed based solely on new information from all the omics fields; it also includes systems analysis, Big Data, and the various efforts to model the human physiome and represent it virtually. The Digital Patient will be realized through the purposeful collaboration of patients as well as scientific, clinical, and policy researchers. The Digital Patient: Advancing Healthcare, Research, and Education addresses Table of ContentsList of Contributors xiii Preface xvii Part 1 The Vision: The Digital Patient—Improving Research, Development, Education, and Healthcare Practice 1 1 The Digital Patient 3C. Donald Combs Health, The Goal, 4 Personalized Medicine, 4 The Best Outcomes, 5 The Emergence of the Digital Patient, 5 The Human Physiome, 6 Enabling the Digital Patient, 8 P4 Medicine, 11 Conclusion, 11 References, 12 2 Reflecting on Discipulus and Remaining Challenges 15Vanessa Díaz]Zuccarini, Mona Alimohammadi, and César Pichardo]Almarza Introduction, 15 A Brief Contextual Background and a Call for Integration: Personalized Medicine is Holistic, 16 The Many Versions of the Digital Patient: On the Road to Medical Avatars, 18 Discipulus: The Digital Patient Technological Challenges and Main Conclusions, 19 The Remaining Challenges and Big Data, 24 Conclusion, 25 References, 26 3 Advancing the Digital Patient 27Catherine M. Banks Introduction, 27 The Digital Patient: Its Early Start, 28 Engaging the Digital Patient, 30 Conclusion, 31 4 The Significance of Modeling and Visualization 33John A. Sokolowski and Hector M. Garcia Introduction, 33 Modeling a Complex System: Human Physiology, 34 Medical Modeling, Simulation, and Visualization, 35 Modes and Types of Visualization, 40 Visualization for Patient]Specific Usefulness, 43 Conclusion, 43 References, 45 Part 2 State of the Art: Systems Biology, the Physiome and Personalized Health 49 5 The Visible Human: A Graphical Interface for Holistic Modeling and Simulation 51Victor M. Spitzer Introduction, 51 Education, 53 Modeling, 55 Virtual Reality Trainers and Simulators, 56 Conclusion, 58 References, 59 6 The Quantifiable Self: Petabyte by Petabyte 63C. Donald Combs and Scarlett R. Barham Introduction, 63 Smarr’s Quantified Self, 64 Extending Smarr’s Research, 67 The Quantified Self]Vision, Simplified, 69 Criticism, 69 Conclusion, 71 References, 72 7 Systems Biology and Health Systems Complexity: Implications for the Digital Patient 73C. Donald Combs, Scarlett R. Barham, and Peter M. A. Sloot Introduction, 73 Systems Biology, 75 The Institute for Systems Biology, 76 The Complexity Institute, 78 The Potential of Systems Biology, 81 Criticism, 82 Conclusion, 83 References, 83 8 Personalized Computational Modeling for the Treatment of Cardiac Arrhythmias 85Seth H. Weinberg Introduction, 85 Basics of Cardiac Electrophysiology, 86 Cardiac Modeling Advancements, 89 Regulation of Intracellular Calcium, 90 From Cells to Cables to Sheets to Tissue to the Heart, 91 Where Can we go from Here? What is the Cardiac Model in the Digital Patient? 95 References, 96 9 The Physiome Project, openEHR Archetypes, and the Digital Patient 101David P. Nickerson, Koray Atalag, Bernard de Bono, and Peter J. Hunter Introduction, 101 Multiscale Physiological Processes, 102 Physiome Project Standards, Repositories, and Tools, 103 Archetype Specialization, 112 Archetype Definition Language, 113 Linking Archetypes to External Knowledge Sources (Terminology and Biomedical Ontologies), 114 Archetype Annotations, 114 OpenEHR Model Repository and Governance, 115 Fast Healthcare Interoperability Resources, 115 A Disease Scenario, 116 Summary and Conclusions, 121 References, 122 10 Physics]Based Modeling for the Physiome 127William A. Pruett and Robert L. Hester Introduction, 127 Modeling Schemes, 128 Future Challenges, 142 Conclusion, 142 Acknowledgments, 143 References, 143 11 Modeling and Understanding the Human Body with SwarmScript 149Sebastian von Mammen, Stefan Schellmoser, Christian Jacob, and Jörg Hähner Introduction, 149 Related Work, 150 Multiagent Organization, 152 Designing Interactive Agents, 152 Speaking SwarmScript, 153 Answering Demand: The Design of SwarmScript, 153 Graph]Based Rule Representation, 153 The Source–Action–Target, 154 SwarmScript INTO3D, 154 A SwarmScript Dialogue, 155 Discussion, 159 Summary, 161 References, 162 12 Using Avatars and Agents to Promote Real]World Health Behavior Changes 167Sun Joo (Grace) Ahn Introduction, 167 Avatars and Agents, 168 Using Agents and Avatars to Promote Health Behavior Changes, 169 Conclusion, 174 References, 174 13 Virtual Reality and Eating, Diabetes, and Obesity 179Jessica E. Cornick and Jim Blascovich Introduction, 179 Virtual Reality, 179 Obesity and Weight Stigma, 184 Virtual Reality as a Tool for Combatting Health Issues, 185 Conclusion, 189 References, 189 14 Immersive Virtual Reality to Model Physical: Social Interaction and Self]Representation 197Eric B. Bauman Introduction, 197 Theory for Immersive Virtual Learning Spaces, 197 Conclusion, 202 References, 203 Part 3 Challenges: Assimilating the Comprehensive Digital Patient 205 15 A Roadmap for Building a Digital Patient System 207Saikou Y. Diallo and Christopher J. Lynch Introduction, 207 Approach, 210 Building the Digital Patient Through Interoperability, 211 Conclusion, 221 Acknowledgments, 221 References, 221 16 Multidisciplinary, Interdisciplinary, and Transdisciplinary Research: Contextualization and Reliability of the Composite 225Andreas Tolk Introduction, 225 Interdisciplinarity and Interdisciplinary Research, 226 Data Engineering to Support Interdisciplinarity and Interoperability, 228 Base Object Models to Support Transdisciplinarity and Composability, 233 Open Challenges on Reliability, 235 Summary and Conclusion, 237 References, 239 17 Bayes Net Modeling: The Means to Craft the Digital Patient 241Joseph A. Tatman and Barry C. Ezell Introduction, 241 Other Interesting Applications, 246 Conclusion, 251 References, 253 Part 4 Potential Impact: Engaging The Digital Patient 255 18 Virtual Reality Standardized Patients for Clinical Training 257Albert Rizzo and Thomas Talbot Introduction, 257 The Rationale for Virtual Standardized Patients, 258 Conversational Virtual Human Agents, 259 Usc Efforts to Create Virtual Standardized Patients, 260 Conclusion, 269 References, 270 19 The Digital Patient: Changing the Paradigm of Healthcare and Impacting Medical Research and Education 273V. Andrea Parodi Introduction, 273 Overview Digital Medicine Projects, 275 Personalized Patient Care Clinical Use, 279 Recommended Education and Training for VPH Project Participation, 281 From Flexner to the 2010 Carnegie Report, 284 Summary Statements, 286 References, 287 20 The Digital Patient: A Vision for Revolutionizing the Electronic Medical Record and Future Healthcare 289Richard M. Satava Introduction, 289 Applications of the Digital Patient as the EMR, 291 Discussion, 296 Conclusion, 297 References, 297 21 Realizing the Digital Patient 299C. Donald Combs and John A. Sokolowski Index 305
£78.95
John Wiley & Sons Inc Computational Neuroendocrinology
Book SynopsisNeuroendocrinology with its well defined functions, inputs, and outputs, is one of the most fertile grounds for computational modeling in neuroscience. But modeling is often seen as something of a dark art.Table of ContentsList of Contributors, vii Series Preface, ix Preface, xi About the Companion Website, xv 1 Bridging Between Experiments and Equations: A Tutorial on Modeling Excitability, 1David P. McCobb and Mary Lou Zeeman 2 Ion Channels and Electrical Activity in Pituitary Cells: A Modeling Perspective, 80Richard Bertram, Joël Tabak, and Stanko S. Stojilkovic 3 Endoplasmic Reticulum- and Plasma-Membrane-Driven Calcium Oscillations, 111Arthur Sherman 4 A Mathematical Model of Gonadotropin-Releasing Hormone Neurons, 142James Sneyd, Wen Duan, and Allan Herbison 5 Modeling Spiking and Secretion in the Magnocellular Vasopressin Neuron, 166Duncan J. MacGregor and Gareth Leng 6 Modeling Endocrine Cell Network Topology, 206David J. Hodson, Francois Molino, and Patrice Mollard 7 Modeling the Milk-Ejection Reflex, 227Gareth Leng and Jianfeng Feng 8 Dynamics of the HPA Axis: A Systems Modeling Approach, 252John R. Terry, Jamie J. Walker, Francesca Spiga, and Stafford L. Lightman 9 Modeling the Dynamics of Gonadotropin-Releasing Hormone (GnRH) Secretion in the Course of an Ovarian Cycle, 284Frédérique Clément and Alexandre Vidal Glossary, 305 Index, 315
£88.30
