Mathematics for Engineers and Scientists

by Alan Jeffrey

Overview

Since its original publication in 1969, Mathematics for Engineers and Scientists has built a solid foundation in mathematics for legions of undergraduate science and engineering students. It continues to do so, but as the influence of computers has grown and syllabi have evolved, once again the time has come for a new edition.

Thoroughly revised to meet the needs of today's curricula, Mathematics for Engineers and Scientists, Sixth Edition covers all of the topics typically introduced to first- or second-year engineering students, from number systems, functions, and vectors to series, differential equations, and numerical analysis. Among the most significant revisions to this edition are:

Simplified presentation of many topics and expanded explanations that further ease the comprehension of incoming engineering students

A new chapter on double integrals

Many more exercises, applications, and worked examples

A new chapter introducing the MATLAB and Maple software packages

Although designed as a textbook with problem sets in each chapter and selected answers at the end of the book, Mathematics for Engineers and Scientists, Sixth Edition serves equally well as a supplemental text and for self-study. The author strongly encourages readers to make use of computer algebra software, to experiment with it, and to learn more about mathematical functions and the operations that it can perform.

Product Details

ISBN-13:	9781584884880
Publisher:	Taylor & Francis
Publication date:	08/10/2004
Edition description:	REV
Pages:	1010
Product dimensions:	7.00(w) x 10.00(h) x 2.30(d)

Table of Contents

Supplementary computer problems. Numbers, trigonometric functions and coordinate geometry. Variables, functions and mappings. Sequences, limits and continuity. Complex numbers and vectors. Differentiation of functions of one or more real variables. Exponential, logarithmic and hyperbolic functions. Fundamentals of integration. Systematic integration. Matrices and linear transformations. Functions of a complex variable. Scales, vectors and fields. Series, Taylor's theorem and its uses. Differential equations and geometry. First-order differential equations. Higher-order linear differential equations. Fourier series. Numerical analysis. A geometrical introduction to linear programming. Probability and statistics. Answers.