Robert C. Busby

Bernard Kolman

This text has been designed as a complete introduction to discrete mathematics, primarily for computer science majors in either a one or two semester course. The topics addressed are of genuine use in computer science, and are presented in a logically coherent fashion. The material has been organized and interrelated to minimize the mass of definitions and the abstraction of some of the theory. For example, relations and directed graphs are treated as two aspects of the same mathematical idea. Whenever possible each new idea uses previously encountered material, and then developed in such a way that it simplifies the more complex ideas that follow.

Discrete Mathematical Structures for Computer Science

Sharon Ross

Estructuras de matemáticas discretas para la computación

Arnold Shapiro

Algebra for College Students, Revised and Expanded Edition is a complete and self-contained presentation of the fundamentals of algebra which has been designed for use by the student. The book provides sufficient materials for use in many courses in college algebra. It contains chapters that are devoted to various mathematical concepts, such as the real number system, sets and set notation, matrices and their application in solving linear systems, and notation of functions. The theory of polynomial equations, formulas for factoring a sum and a difference of cubes, roots of polynomials, and the geometric definition of each conic are likewise included in the book. College students will find the book very useful and invaluable.

Algebra for College Students

David A Hill

For introductory sophomore-level courses in Linear Algebra or Matrix Theory. This text presents the basic ideas of linear algebra in a manner that offers students a fine balance between abstraction/theory and computational skills. The emphasis is on not just teaching how to read a proof but also on how to write a proof.

Pearson New International Edition

Elementary Linear Algebra with Applications

David Ross Hill

This introduction to linear algebra offers a balance between abstraction/theory and computational skills. KEY TOPICS: Linear Equations and Matrices. Real Vector Spaces. Inner Product Spaces. Linear Transformations and Matrices. Determinants. Eigenvalues and Eigenvectors. Differential Equations. MATLAB for Linear Algebra. MATLAB Exercises. For anyone needing a basic understanding of matrix theory or computational skills involving linear algebra.

Elementary Linear Algebra

William F. Trench

Multivariable Calculus with Linear Algebra and Series.

Multivariable Calculus with Linear Algebra and Series

David R. Hill

An Applied First Course (8th Edition)

Introductory Linear Algebra

Howard Anton

Applied Finite Mathematics, Second Edition presents the fundamentals of finite mathematics in a style tailored for beginners, but at the same time covers the subject matter in sufficient depth so that the student can see a rich variety of realistic and relevant applications. Some applications of probability, game theory, and Markov chains are given. Comprised of 10 chapters, this book begins with an introduction to set theory, followed by a discussion on Cartesian coordinate systems and graphs. Subsequent chapters focus on linear programming from a geometric and algebraic point of view; matrices, the solution of linear systems, and applications; the simplex method for solving linear programming problems; and probability and probability models for finite sample spaces as well as permutations, combinations, and counting methods. Basic concepts in statistics are also considered, along with the mathematics of finance. The final chapter is devoted to computers and programming languages such as BASIC. This monograph is intended for students and instructors of applied mathematics.

Applied Finite Mathematics

Robert E. Beck

Disk contains: linear programming code SMPX.

Elementary Linear Programming with Applications

Álgebra linear

Charles G. Denlinger

Applied Calculus

Johan G. F. Belinfante

Introduces the concepts and methods of the Lie theory in a form accessible to the non-specialist by keeping mathematical prerequisites to a minimum. Although the authors have concentrated on presenting results while omitting most of the proofs, they have compensated for these omissions by including many references to the original literature. Their treatment is directed toward the reader seeking a broad view of the subject rather than elaborate information about technical details. Illustrations of various points of the Lie theory itself are found throughout the book in material on applications. In this reprint edition, the authors have resisted the temptation of including additional topics. Except for correcting a few minor misprints, the character of the book, especially its focus on classical representation theory and its computational aspects, has not been changed.

Bernard Kolman

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