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Books in Mathematics

The Mathematics collection presents a range of foundational and advanced research content across applied and discrete mathematics, including fields such as Computational Mathematics; Differential Equations; Linear Algebra; Modelling & Simulation; Numerical Analysis; Probability & Statistics.

  • Mastering Mathematica®

    Programming Methods and Applications
    • 1st Edition
    • John W. Gray
    • English
    Mastering Mathematica®: Programming Methods and Applications presents the mathematical results and turn them into precise algorithmic procedures that can be executed by a computer. This book provides insight into more complex situations that can be investigated by hand. Organized into four parts, this book begins with an overview of the use of a pocket calculator. This text then looks in more detail at numerical calculations and solving equations, both algebraic and differential equations. Other parts consider the built-in graphics and show how to make pictures without programming. This book discusses as well the four styles of programming, namely, functional programming, imperative programming, rewrite programing, and object oriented programming. The reader is also introduced to differentiable mapping to show the analysis of critical points of functions and the developments in differential geometry that are required to study minimal surfaces. This book is a valuable resource for graduate students in mathematics, mathematics education, engineering, and the sciences.

  • Mathematical Tools for Applied Multivariate Analysis

    • 1st Edition
    • Paul E. Green
    • English
    Mathematical Tools for Applied Multivariate Analysis provides information pertinent to the aspects of transformational geometry, matrix algebra, and the calculus that are most relevant for the study of multivariate analysis. This book discusses the mathematical foundations of applied multivariate analysis. Organized into six chapters, this book begins with an overview of the three problems in multiple regression, principal components analysis, and multiple discriminant analysis. This text then presents a standard treatment of the mechanics of matrix algebra, including definitions and operations on matrices, vectors, and determinants. Other chapters consider the topics of eigenstructures and linear transformations that are important to the understanding of multivariate techniques. This book discusses as well the eigenstructures and quadratic forms. The final chapter deals with the geometric aspects of linear transformations. This book is a valuable resource for students.

  • Business Mathematics

    • 1st Edition
    • Michael Sentlowitz
    • English
    Business Mathematics deals with the concepts and problem-solving techniques used in business mathematics. Learning objectives are included at the beginning of each chapter to give the student an overview of the skills they can expect to master after completing the chapter, along with worked-out examples and practice exercises; drill problems and word problems; and post-tests that let students measure their problem-solving skills. Topics covered in this book include operations with whole numbers, decimals, fractions, and percent; sales and inventory; finance; business and personal expenses; borrowing and investing; and data analysis. Starting with the fourth chapter, a case study is included at the end of each chapter for an in-depth analysis and discussion of a hypothetical business-related situation. Optional subsections in each chapter deal with mental arithmetic skills. Step-by-step problem-solving procedures are translated into written formulas, located in easy-to-find boxes for quick reference. A chapter glossary includes definitions for all key terms introduced in the chapter. The answer key at the end of the text includes all the answers for the pretests and post-tests, plus the answers to odd-numbered exercises. This monograph is intended for instructors of business mathematics and for their students who want to understand the concepts and master the problem-solving techniques of business mathematics.

  • Introduction to Applied Probability

    • 1st Edition
    • Paul E. Pfeiffer + 1 more
    • English
    Introduction to Applied Probability provides a basis for an intelligent application of probability ideas to a wide variety of phenomena for which it is suitable. It is intended as a tool for learning and seeks to point out and emphasize significant facts and interpretations which are frequently overlooked or confused by the beginner. The book covers more than enough material for a one semester course, enhancing the value of the book as a reference for the student. Notable features of the book are: the systematic handling of combinations of events (Section 3-5); extensive use of the mass concept as an aid to visualization; an unusually careful treatment of conditional probability, independence, and conditional independence (Section 6-4); the resulting clarification facilitates the formulation of many applied problems; the emphasis on events determined by random variables, which gives unity and clarity to many topics important for interpretation; and the utilization of the indicator function, both as a tool for dealing with events and as a notational device in the handling of random variables. Students of mathematics, engineering, biological and physical sciences will find the text highly useful.

  • Matrix Methods

    An Introduction
    • 1st Edition
    • Richard Bronson
    • English
    Matrix Methods: An Introduction is a nine-chapter text that emphasizes the methodological aspects of mathematical matrices. This book is intended for an introductory course in matrices similar to those given to sophomore and junior engineering students at Fairleigh Dickinson University. The first five chapters deal with the elementary aspects of matrices, including their definition, determinants, method of inversion, simultaneous linear equations, eigenvalues, and eigenvectors. The remaining chapters explore the materials of fundamental importance to both engineers and scientists. These chapters discuss the principles of matrix calculus, linear differential equations, Jordan canonical forms, and special matrices. A set of exercises is provided at the end of each section, which is basically routine in nature and serves primarily to enhance the reader's ability to use the methods just presented. On occasion, problems are assigned that will extend or complete topics previously introduced. This book is intended primarily for science, engineering, and applied mathematics students.

  • Introduction to Probabilistic Automata

    • 1st Edition
    • Azaria Paz
    • Werner Rheinboldt
    • English
    Introduction to Probabilistic Automata deals with stochastic sequential machines, Markov chains, events, languages, acceptors, and applications. The book describes mathematical models of stochastic sequential machines (SSMs), stochastic input-output relations, and their representation by SSMs. The text also investigates decision problems and minimization-of-stat... problems arising from concepts of equivalence and coverings for SSMs. The book presents the theory of nonhomogeneous Markov chains and systems in mathematical terms, particularly in relation to asymptotic behavior, composition (direct sum or product), and decomposition. "Word functions," induced by Markov chains and valued Markov systems, involve characterization, equivalence, and representability by an underlying Markov chain or system. The text also discusses the closure properties of probabilistic languages, events and their relation to regular events, particularly with reference to definite, quasidefinite, and exclusive events. Probabilistic automata theory has applications in information theory, control, learning theory, pattern recognition, and time sharing in computer programming. Programmers, computer engineers, computer instructors, and students of computer science will find the collection highly valuable.

  • Quick Reference to Computer Graphics Terms

    • 1st Edition
    • Roger T. Stevens
    • English
    Quick Reference to Computer Graphics Terms is a collection of technical terms used in computer graphics in a compact and convenient reference volume. The book lists a number of acronyms, phrases, and words that have specialized meanings in the field of computer graphics. The definitions provided are simple and easily understood. The author attempts to present, as much as possible, words and phrases that are widely used during the publication of the volume. Any terms not found in the book may be included in the next edition. Users of computers graphics and students will find the book useful.

  • Discovering Causal Structure

    Artificial Intelligence, Philosophy of Science, and Statistical Modeling
    • 1st Edition
    • Clark Glymour + 2 more
    • English
    Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling provides information pertinent to the fundamental aspects of a computer program called TETRAD. This book discusses the version of the TETRAD program, which is designed to assist in the search for causal explanations of statistical data. or alternative models. This text then examines the notion of applying artificial intelligence methods to problems of statistical model specification. Other chapters consider how the TETRAD program can help to find god alternative models where they exist, and how it can help detect the existence of important neglected variables. This book discusses as well the procedures for specifying a model or models to account for non-experimental or quasi-experimental data. The final chapter presents a description of the format of input files and a description of each command. This book is a valuable resource for social scientists and researchers.

  • Elementary Linear Programming with Applications

    • 1st Edition
    • Bernard Kolman + 1 more
    • Werner Rheinboldt
    • English
    Elementary Linear Programming with Applications presents a survey of the basic ideas in linear programming and related areas. It also provides students with some of the tools used in solving difficult problems which will prove useful in their professional career. The text is comprised of six chapters. The Prologue gives a brief survey of operations research and discusses the different steps in solving an operations research problem. Chapter 0 gives a quick review of the necessary linear algebra. Chapter 1 deals with the basic necessary geometric ideas in Rn. Chapter 2 introduces linear programming with examples of the problems to be considered, and presents the simplex method as an algorithm for solving linear programming problems. Chapter 3 covers further topics in linear programming, including duality theory and sensitivity analysis. Chapter 4 presents an introduction to integer programming. Chapter 5 covers a few of the more important topics in network flows. Students of business, engineering, computer science, and mathematics will find the book very useful.

  • Numerical Computation Using C

    • 1st Edition
    • Robert Glassey
    • Werner Rheinboldt
    • English
    Numerical Computation Using C is a four-chapter text guide for learning C language from the numerical analysis viewpoint. C is a general-purpose language that has been used in systems programming. The first chapter discusses the basic principles, logic, operators, functions, arrays, and structures of C language. The next two chapters deal with the uses of the so-called pointers in the C language, which is a variable that contains the address of some object in memory. These chapters also elaborate on several constructs to show how the use of C language can be fine-tuned. The last chapter highlights the practical aspects of C language. This book will be of value to computer scientists and mathematicians.

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