Applied mathematics

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The first edition of Geometric Morphometrics for Biologists has been the primary resource for teaching modern geometric methods of shape analysis to biologists who have a stronger background in biology than in multivariate statistics and matrix algebra.

This book provides an entry point into Systems Biology for researchers in genetics, molecular biology, cell biology, microbiology and biomedical science to understand the key concepts to expanding their work.

Statistical Methods, Students Solutions Manual (e-only)

Hirsch, Devaney, and Smale's classic Differential Equations, Dynamical Systems, and an Introduction to Chaos has been used by professors as the primary text for undergraduate and graduate level courses covering differential equations.

John Mather's seminal works in Hamiltonian dynamics represent some of the most important contributions to our understanding of the complex balance between stable and unstable motions in classical mechanics.

An accessible undergraduate textbook on the essential math concepts used in the life sciencesThe life sciences deal with a vast array of problems at different spatial, temporal, and organizational scales.

Introduction to Probability Models, Student Solutions Manual (e-only)

Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and calculus, Introduction to Stochastic Modeling, Fourth Edition, bridges the gap between basic probability and an intermediate level course in stochastic processes.

An inviting collection of fun, hands-on applications in mathematics and computingThis book provides a fun, hands-on approach to learning how mathematics and computing relate to the world around us and help us to better understand it.

How do you draw a straight line?

Introduction to Probability Models, Tenth Edition, provides an introduction to elementary probability theory and stochastic processes.

Statistical Bioinformatics provides a balanced treatment of statistical theory in the context of bioinformatics applications.

This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering.

An Introduction to the Mathematics of Finance: A Deterministic Approach, Second edition, offers a highly illustrated introduction to mathematical finance, with a special emphasis on interest rates.

Geometric Algebra for Computer Science (Revised Edition) presents a compelling alternative to the limitations of linear algebra.

Boolean functions are the building blocks of symmetric cryptographic systems.

Student Solutions Manual, Matrix Methods

Student Solutions Manual for Markov Processes for Stochastic Modeling

The essential guide to MATLAB as a problem solving tool This text presents MATLAB both as a mathematical tool and a programming language, giving a concise and easy to master introduction to its potential and power.

This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering.

The revised edition contains a new chapter which provides an elegant description of the semantics.

Handbook of Differential Equations: Evolutionary Equations is the last text of a five-volume reference in mathematics and methodology.

The material collected in this volume discusses the present as well as expected future directions of development of the field with particular emphasis on applications.

This volume presents the basic mathematics of ranking methods through a didactic approach and the integration of relevant applications.

This book provides a survey of the frontiers of research in the numerical modeling and mathematical analysis used in the study of the atmosphere and oceans.

This book provides a comprehensive survey of analytic and approximate solutions of problems of applied mechanics, with particular emphasis on nonconservative phenomena.

For the engineering and scientific professional, A Physicist's Guide to Mathematica, Second Edition provides an updated reference guide based on the 2007 new 6.

This book presents a methodology for the development and computer implementation of dynamic models for transport process systems.

Markov processes are used to model systems with limited memory.

Computer Science and Applied Mathematics: Mathematical Methods for Wave Phenomena focuses on the methods of applied mathematics, including equations, wave fronts, boundary value problems, and scattering problems.

This book is revised and expanded version of the original German text.

Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability.

This updated text provides a superior introduction to applied probability and statistics for engineering or science majors.

Advanced Mathematical Tools for Automatic Control Engineers, Volume 2: Stochastic Techniques provides comprehensive discussions on statistical tools for control engineers.

Connections, Curvature, and Cohomology Volume 3

Optimization, as examined here, ranges from differential equations to problems arising in Mechanics and Statistics.

The Lukasiewicz-Moisil algebras were created by Moisil as an algebraic counterpart for the many-valued logics of Lukasiewicz.

This volume provides an up-to-date picture of the current status of theoretical and empirical developments in the application of fuzzy sets in psychology.

Mathematical modelling modules feature in most university undergraduate mathematics courses.

Laboratory Manual of Biomathematics is a companion to the textbook An Invitation to Biomathematics.

Quantum Mechanics of Non-Hamiltonian and Dissipative Systems is self-contained and can be used by students without a previous course in modern mathematics and physics.

A collection of self contained state-of-the art surveys.

Identity theft has been steadily rising in recent years, and credit card data is one of the number one targets for identity theft.

Advanced Mathematical Tools for Control Engineers: Volume 1 provides a blend of Matrix and Linear Algebra Theory, Analysis, Differential Equations, Optimization, Optimal and Robust Control.

It was not long ago when the consciousness was not considered a problem for science.

This volume covers the integration of fuzzy logic and expert systems.

Essential for all biology and biomathematics courses, this textbook provides students with a fresh perspective of quantitative techniques in biology in a field where virtually any advance in the life sciences requires a sophisticated mathematical approach.

The main purpose of developing stability theory is to examine dynamic responses of a system to disturbances as the time approaches infinity.

Data Engineering has become a necessary and critical activity for business, engineering, and scientific organizations as the move to service oriented architecture and web services moves into full swing.