Introductory Mathematical Analysis
For Business, Economics and the Life and Social Sciences
Prentice-Hall (Publisher)
Published in February 1990
Book
Paperback/Softback
896 pages
978-0-13-477563-0 (ISBN)
Article exhausted; check for reprint
Description
Providing a foundation for the mathematical principles, techniques and applications most useful in business, economics and the life and social sciences, this book covers non-calculus topics such as equations, functions, mathematics of finance, probability, matrix algebra and linear programming. It also discusses single-variable and multivariable calculus, including continuous random variables. The sixth edition introduces topics such as logarithmic and exponential equations, the extreme value theorem and Newton's method of root approximation. Changes have been made to the chapter on limits and continuity to feature continuity's role on limits and to break down the section on differentiation. There is also work on the derivations of logarithmic and exponential functions, implicit differentiation, and higher-order derivatives initial-value problems in the chapter on integration.
More details
Edition
International 2 Revised ed
Language
English
Place of publication
Harlow
United Kingdom
Publishing group
Pearson Education Limited
Target group
College/higher education
Illustrations
col.Illustrations
Dimensions
Height: 235 mm
Width: 205 mm
Weight
1458 gr
ISBN-13
978-0-13-477563-0 (9780134775630)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Ernest F. Haeussler | Richard Paul
Introductory Mathematical Analysis for Business, Economics and the Life and Social Sciences
Book
09/1998
9th Edition
Pearson
€47.03
Article exhausted; check for reprint
Content
Algebra refresher; equations; applications of equations and inequalities; functions and graphs; lines, parabolas and systems; exponential and logarithmic functions; mathematics of finance; introduction to probability; matrix algebra; linear programming; limits and continuity; differentiation; additional differentiation topics; curve sketching; applications of differentiation; integration methods and applications of integration; continuous random variable; multivariable calculus. Appendices.