Applied mathematics Books
Cambridge University Press Essential Mathematics for Political and Social Research
Book SynopsisThis 2006 book was the first of its kind to specifically address the comprehensive introduction to the mathematical principles needed by modern social scientists. The material introduces basic mathematical principles necessary to do analytical work in the social sciences. The core purpose is to present fundamental notions in standard notation and standard language.Trade Review"Ultimately, math is a language, and Jeff Gill's new book is a comprehensive guide to its grammar, syntax, and vocabulary. The book covers essential topics for advanced social science research and will be an excellent teaching, reference, and self-study tool." --Scott Desposato, University of California, San Diego"The body of topics that Gill covers is both appropriate and desirable for any primer in mathematics. The use of substantive examples is really outstanding, and makes this a uniquely attractive commodity for political science faculty who would be teaching a mathematical research/methods class over the course of a semester." --Alan Wiseman, Ohio State UniversityTable of Contents1. The basics; 2. Analytic geometry; 3. Linear algebra: vectors, matrices and operations; 4. Linear algebra continued: matrix structure; 5. Elementary scalar calculus; 6. Additional topics in scalar and vector calculus; 7. Probability theory; 8. Random variables; 9. Markov chains.
£41.79
Cambridge University Press Time Series Analysis for the Social Sciences
Book SynopsisTime series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted. Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. Janet M. Box-Steffensmeier, John R. Freeman, Jon C. Pevehouse and Matthew P. Hitt cover a wide range of topics including ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting. This book is aimed at researchers and graduate students who have taken at least one course in multivariate regression. Examples are drawn from several areas of social science, including political behavior, elections, international conflict, criminology, and comparativeTable of Contents1. Modeling social dynamics; 2. Univariate time series models; 3. Dynamic regression models; 4. Modeling the dynamics of social systems; 5. Univariate, nonstationary processes: tests and modeling; 6. Co-integration and error-correction models; 7. Selections on time series analysis; 8. Concluding thoughts for the time series analyst.
£28.99
Cambridge University Press Quantum Finance Path Integrals and Hamiltonians for Options and Interest Rates
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£58.89
Cambridge University Press The Elements of MATLAB Style
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£22.99
Cambridge University Press Quantitative Risk Assessment The Scientific Platform
Book SynopsisQuantitative risk assessments cannot eliminate risk, nor can they resolve trade-offs. They can, however, guide principled risk management and reduction - if the quality of assessment is high and decision makers understand how to use it. This book builds a unifying scientific framework for discussing and evaluating the quality of risk assessments and whether they are fit for purpose. Uncertainty is a central topic. In practice, uncertainties about inputs are rarely reflected in assessments, with the result that many safety measures are considered unjustified. Other topics include the meaning of a probability, the use of probability models, the use of Bayesian ideas and techniques, and the use of risk assessment in a practical decision-making context. Written for professionals, as well as graduate students and researchers, the book assumes basic probability, statistics and risk assessment methods. Examples make concepts concrete, and three extended case studies show the scientific framewTrade Review'… a timely topic, and a very interesting book … It is very detailed and academically rigorous …' Charles K. Davis, Reviews.com'The book provides a scientific framework apt to evaluate the quality of risk assessments and in particular their flexibility to specifically required purposes … The book gives useful tools for graduate students and researchers as well for professionals.' Zentralblatt MATHTable of ContentsPreface; 1. Introduction to risk management and risk assessments. Challenges; 2. Concepts and perspectives on risk; 3. Science and scientific requirements; 4. Introduction to case studies; 5. Risk assessment when the objective is accurate risk estimation; 6. Risk assessment when the objective is uncertainty descriptions; 7. Risk management and communication issues; 8. Towards a holistic approach to risk assessments; 9. Conclusions; Appendix A. Introduction to probability theory and statistical analysis; Appendix B. Terminology; References; Index.
£47.49
Cambridge University Press Lattice Coding for Signals and Networks
Book SynopsisUnifying information theory and digital communication through the language of lattice codes, this book provides a detailed overview for students, researchers and industry practitioners. It covers classical work by leading researchers in the field of lattice codes and complementary work on dithered quantization and infinite constellations, and then introduces the more recent results on ''algebraic binning'' for side-information problems, and linear/lattice codes for networks. It shows how high dimensional lattice codes can close the gap to the optimal information theoretic solution, including the characterisation of error exponents. The solutions presented are based on lattice codes, and are therefore close to practical implementations, with many advanced setups and techniques, such as shaping, entropy-coding, side-information and multi-terminal systems. Moreover, some of the network setups shown demonstrate how lattice codes are potentially more efficient than traditional random-codingTable of Contents1. Introduction; 2. Lattices; 3. Figures of merit; 4. Dithering and estimation; 5. Entropy-coded quantization; 6. Infinite constellation for modulation; 7. Asymptotic goodness; 8. Nested lattices; 9. Lattice shaping; 10. Side-information problems; 11. Modulo-lattice modulation with Yuval Kochman; 12. Gaussian networks with Bobak Nazer; 13. Error exponents.
£126.00
Cambridge University Press Generalized Riemann Problems in Computational Fluid Dynamics 11 Cambridge Monographs on Applied and Computational Mathematics Series Number 11
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£122.55
Cambridge University Press Financial Engineering and Computation
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£102.60
Cambridge University Press Decisions under Uncertainty
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£85.50
Cambridge University Press Intermittency in Turbulent Flows
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£104.50
Cambridge University Press Random Matrix Models and their Applications
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£122.55
Cambridge University Press The Estimation and Tracking of Frequency 9 Cambridge Series in Statistical and Probabilistic Mathematics Series Number 9
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£91.19
Cambridge University Press AssumptionBased Planning A Tool for Reducing Avoidable Surprises RAND Studies in Policy Analysis
Book SynopsisThis book presents a variety of techniques for rooting out assumptions that have gotten buried in one's thinking. It illustrates steps for monitoring all the vulnerable assumptions of a plan and for preparing the organization for the potential failure of those assumptions where control is not possible.Trade Review'… an impressively flexible and pragmatic approach makes extensive use of scenarios. In my view this is one of the most useful methods for stress-testing a plan … the process spelt out in the book can be applied to all fields of planning and Dewar utilises his real world experience to suggest different methods for implementing the five steps of ABP. This pragmatic approach makes the book very useful for practitioners …'. The Business EconomistTable of Contents1. The essence of assumption-based planning; 2. A taxonomy of assumptions; 3. Step 1: identifying assumptions; 4. Step 2: identifying load-bearing, vulnerable assumptions; 5. Step 3: identifying signposts; 6. Step 4: developing shaping actions; 7. Step 5: developing hedging actions; 8. The art of conducting ABP; 9. Beyond ABP as a post-planning tool.
£63.65
Cambridge University Press Breakup of Liquid Sheets and Jets
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£117.19
Cambridge University Press industrialmathematics
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£94.99
Cambridge University Press Floer Homology Groups in YangMills Theory 147 Cambridge Tracts in Mathematics Series Number 147
Book SynopsisThe seminal work of Floer has now been placed in a contemporary setting. The author of this monograph writes with the big picture constantly in mind, reviewing current knowledge and predicting future directions. This forms part of the work for which Simon Donaldson was awarded the prestigious Fields Medal.Trade Review'… relatively short but very infomative, modern and clearly written … I stronly recommend the book to both specialists and graduate students'. S. Merkulov, Proceedings of the Edinburgh Mathematical Society'… a compact but very readable account.' Mathematika'… gives a nice account of the theory of an interesting topic in contemporary geometry and topology. It can be strongly recommended …'. EMS NewsletterTable of Contents1. Introduction; 2. Basic material; 3. Linear analysis; 4. Gauge theory and tubular ends; 5. The Floer homology groups; 6. Floer homology and 4-manifold invariants; 7. Reducible connections and cup products; 8. Further directions.
£116.85
Cambridge University Press GravityCapillary FreeSurface Flows Cambridge Monographs on Mechanics
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£105.45
Cambridge University Press Physical Problems Solved by the PhaseIntegral Method
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£118.75
Cambridge University Press Introduction to Classical Integrable Systems
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£161.50
Cambridge University Press Association Schemes
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£87.39
Cambridge University Press Scaling 34 Cambridge Texts in Applied Mathematics Series Number 34
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£71.24
Cambridge University Press Evolutionary Conservation Biology 4 Cambridge Studies in Adaptive Dynamics Series Number 4
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£86.45
Cambridge University Press Elements of the Random Walk
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£75.04
Cambridge University Press Frobenius Algebras and 2D Topological Quantum Field Theories London Mathematical Society Student Texts Book 59
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£133.95
Cambridge University Press Essential Mathematics for Political and Social Research
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£61.75
Cambridge University Press Introduction to the Mathematical and Statistical Foundations of Econometrics
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£75.99
Cambridge University Press Linear Operators and Linear Systems An Analytical Approach to Control Theory 60 London Mathematical Society Student Texts Series Number 60
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£100.70
Cambridge University Press Modern Dynamical Systems and Applications
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£95.95
Cambridge University Press Systems Biology Properties of Reconstructed Networks
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£67.44
Cambridge University Press Numerical Methods for Chemical Engineering
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£80.74
Cambridge University Press Aperiodic Order
Book SynopsisThis first volume in a series provides a graduate-level introduction to the many facets of aperiodic order. Special attention is given to methods from algebra, discrete geometry and harmonic analysis, while the main focus is on topics motivated by physics and crystallography. Numerous illustrations and examples are included.Trade Review'Mathematicians add hypotheses to theorems either to bar known monsters or provisionally to enable proof, pending better ideas that lead to more general results … Monsters no more, aperiodic filings have joined mainstream mathematics, and undergraduates drawn here by beautiful graphics will find themselves initiated into algebraic number theory, Lie theory, ergodic theory, dynamical systems, finite-state automata, Fourier analysis, and more.' D. V. Feldman, University of New Hampshire'Aperiodic Order is a comprehensive introduction to this relatively new and multidisciplinary field. Sparked by Dan Shechtman's discovery of quasicrystals in 1982, which earned him the 2011 Nobel Prize in Chemistry, the field incorporates crystallography, discrete geometry, dynamical systems, harmonic analysis, mathematical diffraction theory, and more. Because the field spans such disparate fields, advances by one group often go unnoticed by the other. An important goal of this book is to remedy this by unifying and contextualizing results and providing a common language for researchers. … Readers who want to follow up on any details can certainly find a reference in the nearly 30 pages of bibliographic entries. Full of examples, construction techniques, and an array of analytic tools, this book is an outstanding resource for those hoping to enter the field, yet also contains plenty of useful information for seasoned experts.' Natalie Priebe Frank, Mathematical Association of AmericaTable of ContentsForeword Roger Penrose; Preface; 1. Introduction; 2. Preliminaries; 3. Lattices and crystals; 4. Symbolic substitutions and inflations; 5. Patterns and tilings; 6. Inflation tilings; 7. Projection method and model sets; 8. Fourier analysis and measures; 9. Diffraction; 10. Beyond model sets; 11. Random structures; A. The icosahedral group; Appendix B. The dynamical spectrum; References; Index.
£88.34
Cambridge University Press Aperiodic Order Volume 2 Crystallography and Almost Periodicity
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£122.55
Cambridge University Press Iterative Error Correction
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£48.44
Cambridge University Press TwoDimensional Information Theory and Coding With Applications to Graphics Data and HighDensity Storage Media
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£66.49
Cambridge University Press SubRiemannian Geometry General Theory and Examples 126 Encyclopedia of Mathematics and its Applications Series Number 126
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£122.55
Cambridge University Press Theoretical Foundations of Asset Pricing
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£47.49
Cambridge University Press General PostNewtonian Orbital Effects
Book SynopsisOrbital motions have always been used to test gravitational theories which, from time to time, have challenged the then-dominant paradigms. This book provides a unified treatment for calculating a wide variety of orbital effects due to general relativity and modified models of gravity, to its first and second post-Newtonian orders, in full generality. It gives explicit results valid for arbitrary orbital configurations and spin axes of the sources, without a priori simplifying assumptions on either the orbital eccentricity or inclination. These general results apply to a range of phenomena, from Earth''s artificial satellites to the S-stars orbiting the supermassive black hole in the Galactic Centre to binary and triple pulsars, exoplanets, and interplanetary probes. Readers will become acquainted with working out a variety of orbital effects other than the time-honoured perihelion precession, designing their own space-based tests, performing effective sensitivity analyses, and assessing realistic error budgets.
£112.50
Cambridge University Press Mathematics of Public Key Cryptography
Book SynopsisPublic key cryptography is a major interdisciplinary subject with many real-world applications. This book has been carefully written to communicate the major ideas and techniques in this subject to a wide readership. With numerous examples and exercises, it is suitable as a textbook for an advanced course or for self-study.Trade Review'… the book gathers the main mathematical topics related to public key cryptography and provides an excellent source of information for both students and researchers interested in the field.' Juan Tena Ayuso, Zentralblatt MATHTable of ContentsPreface; Acknowledgements; 1. Introduction; Part I. Background: 2. Basic algorithmic number theory; 3. Hash functions and MACs; Part II. Algebraic Groups: 4. Preliminary remarks on algebraic groups; 5. Varieties; 6. Tori, LUC and XTR; 7. Curves and divisor class groups; 8. Rational maps on curves and divisors; 9. Elliptic curves; 10. Hyperelliptic curves; Part III. Exponentiation, Factoring and Discrete Logarithms: 11. Basic algorithms for algebraic groups; 12. Primality testing and integer factorisation using algebraic groups; 13. Basic discrete logarithm algorithms; 14. Factoring and discrete logarithms using pseudorandom walks; 15. Factoring and discrete logarithms in subexponential time; Part IV. Lattices: 16. Lattices; 17. Lattice basis reduction; 18. Algorithms for the closest and shortest vector problems; 19. Coppersmith's method and related applications; Part V. Cryptography Related to Discrete Logarithms: 20. The Diffie–Hellman problem and cryptographic applications; 21. The Diffie–Hellman problem; 22. Digital signatures based on discrete logarithms; 23. Public key encryption based on discrete logarithms; Part VI. Cryptography Related to Integer Factorisation: 24. The RSA and Rabin cryptosystems; Part VII. Advanced Topics in Elliptic and Hyperelliptic Curves: 25. Isogenies of elliptic curves; 26. Pairings on elliptic curves; Appendix A. Background mathematics; References; Author index; Subject index.
£54.14
Cambridge University Press Cause and Correlation in Biology
Book SynopsisMany problems in biology require an understanding of the relationships among variables in a multivariate causal context. Exploring such cause-effect relationships through a series of statistical methods, this book explains how to test causal hypotheses when randomised experiments cannot be performed. This completely revised and updated edition features detailed explanations for carrying out statistical methods using the popular and freely available R statistical language. Sections on d-sep tests, latent constructs that are common in biology, missing values, phylogenetic constraints, and multilevel models are also an important feature of this new edition. Written for biologists and using a minimum of statistical jargon, the concept of testing multivariate causal hypotheses using structural equations and path analysis is demystified. Assuming only a basic understanding of statistical analysis, this new edition is a valuable resource for both students and practising biologists.Trade ReviewReview of previous edition: '… the perfect introduction to SEM. This book can be used as the primary text in a SEM course given within any discipline, and can be used by scholars and researchers from any area of science.' Structural Equation ModelingReview of previous edition: 'Addressing students and practising biologists, Shipley does a terrific job of making mathematical ideas accessible … Cause and Correlation in Biology is a nontechnical and honest introduction to statistical methods for testing causal hypotheses.' Johan Paulsson, Nature Cell BiologyReview of previous edition: 'I highly recommend the book for those interested in multivariate approaches to biology.' Annals of Botany'Bill Shipley has done an excellent job in tackling the fundamental issue of testing causality in biology and making it accessible to any biology student or scholar. This book is about statistics, but the storytelling is for biologists. When the first edition for this book came out, in 2000, path analyses were not a common tool for biologists. Although the first edition convinced us to use structural equation modelling, this second edition supplies the essential toolbox. This book is the best route to take if you want to master structural equation modelling in biology, and the very good news is that this second edition not only provides updates and extensions, it also offers R codes to run your analyses.' Anne Charmantier, Centre d'Écologie Fonctionnelle et Évolutive (CEFE), Montpellier'For a long time biologists have inferred causation only from carefully designed experiments. Shipley's book broadens horizons by showing how to use observational data to infer whether a causal model is plausible, and to estimate the variation in response due to competing causes.' David Warton, University of New South Wales, SydneyTable of ContentsPreface; 1. Preliminaries; 2. From cause to correlation and back; 3. Sewall Wright, path analysis and d-separation; 4. Path analysis and maximum likelihood; 5. Measurement error and latent variables; 6. The structural equations model; 7. Multigroup models, multilevel models, and corrections for non-independence of observations; 8. Exploration, discovery and equivalence; Index.
£47.49
Cambridge University Press Probabilistic Forecasting and Bayesian Data Assimilation Cambridge Texts in Applied Mathematics
Book SynopsisIn this book the authors describe the principles and methods behind probabilistic forecasting and Bayesian data assimilation. Instead of focusing on particular application areas, the authors adopt a general dynamical systems approach, with a profusion of low-dimensional, discrete-time numerical examples designed to build intuition about the subject. Part I explains the mathematical framework of ensemble-based probabilistic forecasting and uncertainty quantification. Part II is devoted to Bayesian filtering algorithms, from classical data assimilation algorithms such as the Kalman filter, variational techniques, and sequential Monte Carlo methods, through to more recent developments such as the ensemble Kalman filter and ensemble transform filters. The McKean approach to sequential filtering in combination with coupling of measures serves as a unifying mathematical framework throughout Part II. Assuming only some basic familiarity with probability, this book is an ideal introduction forTrade Review'… an ideal platform for capstone experiences tailored to students with interests spanning applied mathematics and statistics.' D. V. Feldman, Choice'Looking at it again from the mathematician's viewpoint, this is a beautiful articulation of the deep fact that methods which were originally developed to solve specific problems, and to get around specific issues, can be reformulated as special instances of a general theory. This book by Reich and Cotter thus makes an important and potentially very influential contribution to the literature. It is arguably most exciting in that the perspective promises to produce more and better algorithms. What more could one ask of a mathematical theory?' Christopher Jones, SIAM ReviewTable of ContentsPreface; 1. Prologue: how to produce forecasts; Part I. Quantifying Uncertainty: 2. Introduction to probability; 3. Computational statistics; 4. Stochastic processes; 5. Bayesian inference; Part II. Bayesian Data Assimilation: 6. Basic data assimilation algorithms; 7. McKean approach to data assimilation; 8. Data assimilation for spatio-temporal processes; 9. Dealing with imperfect models; References; Index.
£42.74
Cambridge University Press Principles of Geometry
Book SynopsisHenry Frederick Baker (18661956) was a renowned British mathematician specialising in algebraic geometry. First published between 1922 and 1925, this six-volume work provides a detailed insight into the geometry which was developing at the time of publication. Volume 1 describes the foundations of projective geometry.Table of ContentsPreface; Introductory; 1. Abstract geometry; 2. Real geometry; 3. Abstract geometry, resumed; Bibliographical; Index.
£24.99
Cambridge University Press An Introduction to Engineering Mathematics
Book SynopsisOriginally published in 1936, this textbook provides a solid foundation for studies on the practical side of applied mathematics.Table of ContentsPreface; 1. Factors and multiples; vulgar fractions; regular solids; mensuration of rectangle and triangle; decimals; approximations and significant figures; revision exercises; 2. Ratio and proportion; inverse proportion; averages; percentages; 3. Powers and roots; 4. Symbols; algebraic sums; algebraic multiplication; algebraic division; rule of signs; brackets and symbolic expression; 5. Factors; 6. Simple equations; problems; change of subject; 7. Angles and angle measure; parallelism; triangles; angles of polygons; congruence of triangles; 8. Geometry and mensuration of quadrilaterals and polygons; theorem of Pythagoras; 9. Logarithms; 10. Mensuration of the circle, sector, annulus; 11. Use of squared paper; proportion by graphs; 12. Simultaneous equations; problems; 13. Co-ordinates, straight lines and slopes; graphical solution of simultaneous equations; the equation of a straight line; 14. Mensuration of solids; volumes and surface areas of cubes and prisms; cylinders, pyramids, cones, frusta; spheres; similar figures, plane and solid; 15. Curved graphs; 16. Quadratic equations; 17. Trigonometry - ratios and exercises; 18. Geometry of the circle; chords, angles and tangency; useful propositions and exercises; 19. Loci; Tests; Tables and constants; Mensuration formulae (summary of); Tables. Logarithms; antilogarithms; sines; cosines; tangents; Index; Answers.
£34.99
Cambridge University Press Introduction to Magnetohydrodynamics
Book SynopsisMagnetohydrodynamics (MHD) plays a crucial role in astrophysics, planetary magnetism, engineering and controlled nuclear fusion. This comprehensive textbook emphasizes physical ideas, rather than mathematical detail, making it accessible to a broad audience. Starting from elementary chapters on fluid mechanics and electromagnetism, it takes the reader all the way through to the latest ideas in more advanced topics, including planetary dynamos, stellar magnetism, fusion plasmas and engineering applications. With the new edition, readers will benefit from additional material on MHD instabilities, planetary dynamos and applications in astrophysics, as well as a whole new chapter on fusion plasma MHD. The development of the material from first principles and its pedagogical style makes this an ideal companion for both undergraduate students and postgraduate students in physics, applied mathematics and engineering. Elementary knowledge of vector calculus is the only prerequisite.Trade ReviewReview of previous edition: '… an excellent book, which provides a refreshing introduction and a welcome addition to the MHD literature.' A. M. Soward, Journal of Fluid MechanicsReview of previous edition: 'The language of this book is simple, vivid, yet fully scientific. It is a real pleasure to read … worth recommending, not only to students, but also to everyone who is interested in MHD, particularly to theoreticians who, as a rule, know almost nothing about metallurgical applications of MHD.' Applied Mechanics ReviewReview of previous edition: 'Like other texts in the series, the typography is easy on the eyes and the price easy on the purse. All in all, a wonderful introduction to the subject and more!' Stanley A. Berger, Physics TodayReview of previous edition: '… a thorough introduction to conducting fluid mechanics … an excellent and informative book that can be well recommended.' S. W. H. Cowley, Contemporary PhysicsReview of previous edition: 'The author writes lucidly and maintains the reader's interest in several ways: he formulates arguments provocatively, sometimes as paradoxes; he provides apt quotations; he points to exciting applications; and he enlivens his text with historical snippets … It is written with love, and in a completely consistent style.' Paul H. Roberts, SIAM ReviewReview of previous edition: 'The book is unique in bringing together a number of diverse topics … [It] makes for rewarding reading, and I recommend it to all students of MHD, no matter what their persuasion. It would be an excellent textbook for students with interest in the engineering applications, but also will serve as a perfect complementary text for an introductory plasma MHD course.' Elena V. Belova, American Journal of Physics'The rich scholarship presented in this monograph is a result of the author's ongoing study of these concepts … This careful documentation, also provided for modern technology, gives the reader an exceptional glimpse into this field.' J. W. Jerome, MathSciNet'This book is at once a useful basic textbook introducing the elements of electromagnetism and fluid dynamics and, at the same time, an informative research monograph targeting professional researchers in industry and academia.' K. Alan Shore, Optics & Photonics NewsTable of ContentsPart I. From Maxwell's Equations to Magnetohydrodynamics: 1. A qualitative overview of MHD; 2. The governing equations of electrodynamics; 3. A first course in fluid dynamics; 4. The governing equations of MHD; Part II. The Fundamentals of Incompressible MHD: 5. Kinematics – advection, diffusion and intensification of magnetic fields; 6. Dynamics at low magnetic Reynolds number; 7. Dynamics at high magnetic Reynolds number; 8. An introduction to turbulence; 9. MHD turbulence at low and high magnetic Reynolds number; Part III. Applications in Engineering and Materials: 10. The world of metallurgical MHD; 11. The generation and suppression of motion in castings; 12. Axisymmetric flows driven by the injection of current; 13. MHD instabilities in aluminium reduction cells; Part IV. Applications in Physics: 14. The geodynamo; 15. Stellar magnetism; 16. Plasma containment in fusion reactors; Appendix A. Vector identities and theorems; Appendix B. Physical properties of liquid metals; References; Index.
£51.29
McGraw-Hill Education - Europe Applied Calculus for Business Economics and the
Book Synopsis Applied Calculus for Business, Economics, and the Social and Life Sciences, Expanded Edition provides a sound, intuitive understanding of the basic concepts students need as they pursue careers in business, economics, and the life and social sciences. Students achieve success using this text as a result of the author's applied and real-world orientation to concepts, problem-solving approach, straight forward and concise writing style, and comprehensive exercise sets. More than 100,000 students worldwide have studied from this text!Table of ContentsChapter 1: Functions, Graphs, and Limits1.1Functions1.2The Graph of a Function1.3Lines and Linear Functions1.4Functional Models1.5Limits1.6One-Sided Limits and ContinuityChapter 2: Differentiation: Basic Concepts2.1The Derivative2.2Techniques of Differentiation2.3Product and Quotient Rules; Higher-Order Derivatives2.4The Chain Rule2.5Marginal Analysis and Approximations Using Increments2.6Implicit Differentiation and Related RatesChapter 3: Additional Applications of the Derivative3.1 Increasing and Decreasing Functions; Relative Extrema3.2 Concavity and Points of Inflection3.3 Curve Sketching3.4 Optimization; Elasticity of Demand3.5 Additional Applied OptimizationChapter 4: Exponential and Logarithmic Functions4.1 Exponential Functions; Continuous Compounding4.2 Logarithmic Functions4.3 Differentiation of Exponential and Logarithmic Functions4.4 Additional Applications; Exponential ModelsChapter 5: Integration5.1 Indefinite Integration and Differential Equations5.2 Integration by Substitution5.3 The Definite Integral and the Fundamental Theorem of Calculus5.4 Applying Definite Integration: Distribution of Wealth and Average Value5.5 Additional Applications to Business and Economics5.6 Additional Applications to the Life and Social SciencesChapter 6: Additional Topics in Integration6.1 Integration by Parts; Integral Tables6.2 Numerical Integration6.3 Improper IntegralsChapter 7: Calculus of Several Variables7.1 Functions of Several Variables7.2 Partial Derivatives7.3 Optimizing Functions of Two Variables7.4 The Method of Least-Squares7.5 Constrained Optimization: The Method of Lagrange Multipliers7.6 Double IntegralsChapter 8: Trigonometric Functions8.1 Angle Measurement; Trigonometric Functions8.2 Trigonometric Applications Involving Differentiation8.3 Trigonometric Applications Involving IntegrationChapter 9: Differential Equations9.1 Modeling with Differential Equations9.2 First-Order Linear Differential Equations9.3 Additional Applications of Differential Equations9.4 Approximate Solutions of Differential Equations9.5 Difference Equations; The Cobweb ModelChapter 10: Infinite Series and Taylor Series Approximations10.1 Infinite Series; Geometric Series10.2 Tests for Convergence10.3 Functions as Power Series; Taylor SeriesChapter 11: Probability and Calculus11.1 Introduction to Probability; Discrete Random Variables11.2 Continuous Probability Distributions11.3 Expected Value and Variance of Continuous Random Variables10.4 Normal and Poisson Probability DistributionsAppendix A: Algebra ReviewA.1 A Brief Review of AlgebraA.2 Factoring Polynomials and Solving Systems of EquationsA.3 Evaluating Limits with L’Hopital’s RuleA.4 The Summation Notation
£225.75
McGraw-Hill Education - Europe Calculus for Business Economics and the Social
Book Synopsis Calculus for Business, Economics, and the Social and Life Sciences, Brief Edition provides a sound, intuitive understanding of the basic concepts students need as they pursue careers in business, economics, and the life and social sciences. Students achieve success using this text as a result of the author's applied and real-world orientation to concepts, problem-solving approach, straight forward and concise writing style, and comprehensive exercise sets. More than 100,000 students worldwide have studied from this text!Table of ContentsChapter 1: Functions, Graphs, and Limits1.1Functions1.2The Graph of a Function1.3Lines and Linear Functions1.4Functional Models1.5Limits1.6One-Sided Limits and ContinuityChapter 2: Differentiation: Basic Concepts2.1The Derivative2.2Techniques of Differentiation2.3Product and Quotient Rules; Higher-Order Derivatives2.4The Chain Rule2.5Marginal Analysis and Approximations Using Increments2.6Implicit Differentiation and Related RatesChapter 3: Additional Applications of the Derivative3.1 Increasing and Decreasing Functions; Relative Extrema3.2 Concavity and Points of Inflection3.3 Curve Sketching3.4 Optimization; Elasticity of Demand3.5 Additional Applied OptimizationChapter 4: Exponential and Logarithmic Functions4.1 Exponential Functions; Continuous Compounding4.2 Logarithmic Functions4.3 Differentiation of Exponential and Logarithmic Functions4.4 Additional Applications; Exponential ModelsChapter 5: Integration5.1 Indefinite Integration and Differential Equations5.2 Integration by Substitution5.3 The Definite Integral and the Fundamental Theorem of Calculus5.4 Applying Definite Integration: Distribution of Wealth and Average Value5.5 Additional Applications to Business and Economics5.6 Additional Applications to the Life and Social SciencesChapter 6: Additional Topics in Integration6.1 Integration by Parts; Integral Tables6.2 Numerical Integration6.3 Improper Integrals6.4 Introduction to Continuous ProbabilityChapter 7: Calculus of Several Variables7.1 Functions of Several Variables7.2 Partial Derivatives7.3 Optimizing Functions of Two Variables7.4 The Method of Least-Squares7.5 Constrained Optimization: The Method of Lagrange Multipliers7.6 Double IntegralsAppendix A: Algebra ReviewA.1 A Brief Review of AlgebraA.2 Factoring Polynomials and Solving Systems of EquationsA.3 Evaluating Limits with L’Hopital’s RuleA.4 The Summation Notation
£224.03
The University of Chicago Press Perspectives in Computation
Book SynopsisComputation is the process of applying a procedure or algorithm to the solution of a mathematical problem. This book covers three broad topics: the computation process and its limitations, the search for computational efficiency, and the role of quantum mechanics in computation.Trade Review"A beautiful little book.... It succeeds so well because Geroch believes that 'physics is a human activity' and wants to share some of its joy with others." - Physics Today"
£999.99
WW Norton & Co A Scheme of Heaven
Book SynopsisAn illuminating look at the surprising history and science of astrology, civilization’s first system of algorithms, from Babylon to the present day.Trade Review"A vivid narrative... Mr. Boxer traces the ups and downs of astrology, from its vociferous condemnation by Christians to its modern-era resurgence. Along the way, we encounter statistical methodologies, the problematic art of calendar-keeping, plus a good deal of (mostly Western) cultural history." -- Alan Hirshfeld - The Wall Street Journal"Boxer applies his knowledge of statistics to some of the most enduring and fascinating patterns that astrology educed from its constant comparisons between heavenly and terrestrial events." -- Steven Vanden Broecke - Science"And with his lovely prose, Boxer makes it relatively easy to navigate—if not celestially then literarily—around the difficult bits. A journey through Boxer’s own scheme of heaven is one well worth taking." -- Katie Hafner - Washington Post"A delightful and utterly fascinating work of intellectual history." -- Joshua Foer, author of Moonwalking with Einstein and coauthor of Atlas Obscura"Through striking diagrams and accessible explanations, Boxer shows us the impressive range of technology the ancients developed for tapping into astrology’s predictive powers. This book demonstrates how impactful astrology is in everyday life—not through the influence of the stars, but rather through its deep scientific and cultural legacy." -- Janelle Shane, author of You Look Like a Thing and I Love You"A Scheme of Heaven is a masterful synthesis—science, history, legends, literature, and an eye-opening exploration of the human penchant for pattern recognition. The book is full of wit and refreshing insight. I’ll never look at a horoscope—or the night sky—in quite the same way again." -- David Baron, author of American Eclipse"Boxer is a champion of intrepid thought. His learned book demonstrates how much we stand to gain by studying topics that just may be a little bit true. And a little truth, as Boxer shows, can change everything." -- Mitch Horowitz, PEN Award–winning author of Occult America"A fresh and original introduction to astrology’s long history and deep cultural reach. Open and inquisitive, Boxer combines the critical perspective of a modern data scientist with a historian’s sympathetic eye for telling detail. The result is a vivid and unique delight." -- Stephen Johnston, University of Oxford
£21.84
John Wiley & Sons Inc Algorithms in Computational Molecular Biology
Book SynopsisThis book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study.Table of ContentsPREFACE xxxi CONTRIBUTORS xxxiii I STRINGS PROCESSING AND APPLICATION TO BIOLOGICAL SEQUENCES 1 1 STRING DATA STRUCTURES FOR COMPUTATIONAL MOLECULAR BIOLOGY 3Christos Makris and Evangelos Theodoridis 2 EFFICIENT RESTRICTED-CASE ALGORITHMS FOR PROBLEMS IN COMPUTATIONAL BIOLOGY 27Patricia A. Evans and H. Todd Wareham 3 FINITE AUTOMATA IN PATTERN MATCHING 51Jan Holub 4 NEW DEVELOPMENTS IN PROCESSING OF DEGENERATE SEQUENCES 73Pavlos Antoniou and Costas S. Iliopoulos 5 EXACT SEARCH ALGORITHMS FOR BIOLOGICAL SEQUENCES 91Eric Rivals, Leena Salmela, and Jorma Tarhio 6 ALGORITHMIC ASPECTS OF ARC-ANNOTATED SEQUENCES 113Guillaume Blin, Maxime Crochemore, and Stéphane Vialette 7 ALGORITHMIC ISSUES IN DNA BARCODING PROBLEMS 129Bhaskar DasGupta, Ming-Yang Kao, and Ion Mandoiu 8 RECENT ADVANCES IN WEIGHTED DNA SEQUENCES 143Manolis Christodoulakis and Costas S. Iliopoulos 9 DNA COMPUTING FOR SUBGRAPH ISOMORPHISM PROBLEM AND RELATED PROBLEMS 171Sun-Yuan Hsieh, Chao-Wen Huang, and Hsin-Hung Chou II ANALYSIS OF BIOLOGICAL SEQUENCES 191 10 GRAPHS IN BIOINFORMATICS 193Elsa Chacko and Shoba Ranganathan 11 A FLEXIBLE DATA STORE FOR MANAGING BIOINFORMATICS DATA 221Bassam A. Alqaralleh, Chen Wang, Bing Bing Zhou, and Albert Y. Zomaya 12 ALGORITHMS FOR THE ALIGNMENT OF BIOLOGICAL SEQUENCES 241Ahmed Mokaddem and Mourad Elloumi 13 ALGORITHMS FOR LOCAL STRUCTURAL ALIGNMENT AND STRUCTURAL MOTIF IDENTIFICATION 261Sanguthevar Rajasekaran, Vamsi Kundeti, and Martin Schiller 14 EVOLUTION OF THE CLUSTAL FAMILY OF MULTIPLE SEQUENCE ALIGNMENT PROGRAMS 277Mohamed Radhouene Aniba and Julie Thompson 15 FILTERS AND SEEDS APPROACHES FOR FAST HOMOLOGY SEARCHES IN LARGE DATASETS 299Nadia Pisanti, Mathieu Giraud, and Pierre Peterlongo 16 NOVEL COMBINATORIAL AND INFORMATION-THEORETIC ALIGNMENT-FREE DISTANCES FOR BIOLOGICAL DATA MINING 321Chiara Epifanio, Alessandra Gabriele, Raffaele Giancarlo, and Marinella Sciortino 17 IN SILICO METHODS FOR THE ANALYSIS OF METABOLITES AND DRUG MOLECULES 361Varun Khanna and Shoba Ranganathan III MOTIF FINDING AND STRUCTURE PREDICTION 383 18 MOTIF FINDING ALGORITHMS IN BIOLOGICAL SEQUENCES 385Tarek El Falah, Mourad Elloumi, and Thierry Lecroq 19 COMPUTATIONAL CHARACTERIZATION OF REGULATORY REGIONS 397Enrique Blanco 20 ALGORITHMIC ISSUES IN THE ANALYSIS OF CHIP-SEQ DATA 425Federico Zambelli and Giulio Pavesi 21 APPROACHES AND METHODS FOR OPERON PREDICTION BASED ON MACHINE LEARNING TECHNIQUES 449Yan Wang, You Zhou, Chunguang Zhou, Shuqin Wang, Wei Du, Chen Zhang, and Yanchun Liang 22 PROTEIN FUNCTION PREDICTION WITH DATA-MINING TECHNIQUES 479Xing-Ming Zhao and Luonan Chen 23 PROTEIN DOMAIN BOUNDARY PREDICTION 501Paul D. Yoo, Bing Bing Zhou, and Albert Y. Zomaya 24 AN INTRODUCTION TO RNA STRUCTURE AND PSEUDOKNOT PREDICTION 521Jana Sperschneider and Amitava Datta IV PHYLOGENY RECONSTRUCTION 547 25 PHYLOGENETIC SEARCH ALGORITHMS FOR MAXIMUM LIKELIHOOD 549Alexandros Stamatakis 26 HEURISTIC METHODS FOR PHYLOGENETIC RECONSTRUCTION WITH MAXIMUM PARSIMONY 579Adrien Goëffon, Jean-Michel Richer, and Jin-Kao Hao 27 MAXIMUM ENTROPY METHOD FOR COMPOSITION VECTOR METHOD 599Raymond H.-F. Chan, Roger W. Wang, and Jeff C.-F. Wong V MICROARRAY DATA ANALYSIS 623 28 MICROARRAY GENE EXPRESSION DATA ANALYSIS 625Alan Wee-Chung Liew and Xiangchao Gan 29 BICLUSTERING OF MICROARRAY DATA 651Wassim Ayadi and Mourad Elloumi 30 COMPUTATIONAL MODELS FOR CONDITION-SPECIFIC GENE AND PATHWAY INFERENCE 665Yu-Qing Qiu, Shihua Zhang, Xiang-Sun Zhang, and Luonan Chen 31 HETEROGENEITY OF DIFFERENTIAL EXPRESSION IN CANCER STUDIES: ALGORITHMS AND METHODS 691Radha Krishna Murthy Karuturi VI ANALYSIS OF GENOMES 723 32 COMPARATIVE GENOMICS: ALGORITHMS AND APPLICATIONS 725Xiao Yang and Srinivas Aluru 33 ADVANCES IN GENOME REARRANGEMENT ALGORITHMS 749Masud Hasan and M. Sohel Rahman 34 COMPUTING GENOMIC DISTANCES: AN ALGORITHMIC VIEWPOINT 773Guillaume Fertin and Irena Rusu 35 WAVELET ALGORITHMS FOR DNA ANALYSIS 799Carlo Cattani 36 HAPLOTYPE INFERENCE MODELS AND ALGORITHMS 843Ling-Yun Wu VII ANALYSIS OF BIOLOGICAL NETWORKS 865 37 UNTANGLING BIOLOGICAL NETWORKS USING BIOINFORMATICS 867Gaurav Kumar, Adrian P. Cootes, and Shoba Ranganathan 38 PROBABILISTIC APPROACHES FOR INVESTIGATING BIOLOGICAL NETWORKS 893Jérémie Bourdon and Damien Eveillard 39 MODELING AND ANALYSIS OF BIOLOGICAL NETWORKS WITH MODEL CHECKING 915Dragan Bosnacki, Peter A.J. Hilbers, Ronny S. Mans, and Erik P. de Vink 40 REVERSE ENGINEERING OF MOLECULAR NETWORKS FROM A COMMON COMBINATORIAL APPROACH 941Bhaskar DasGupta, Paola Vera-Licona, and Eduardo Sontag 41 UNSUPERVISED LEARNING FOR GENE REGULATION NETWORK INFERENCE FROM EXPRESSION DATA: A REVIEW 955Mohamed Elati and Céline Rouveirol 42 APPROACHES TO CONSTRUCTION AND ANALYSIS OF MICRORNA-MEDIATED NETWORKS 979Ilana Lichtenstein, Albert Zomaya, Jennifer Gamble, and Mathew Vadas INDEX 1007
£144.00
