Analytical, Numerical and Computational Methods for Science and Engineering
Pearson Education (US) (Publisher)
Published in December 1990
Book
Paperback/Softback
512 pages
978-0-13-035056-5 (ISBN)
Article exhausted; check for reprint
Description
This is an introduction to analytical and numerical methods used in engineering and scientific design practices. Building from a standard mathematics background, the text explores the fundamental numerical methods that comprise the basic tools of design. The text outlines practical aspects of the BASIC and FORTRAN computer languages as used to solve scientific design problems; reviews complex algebra including roots and logarithms of complex numbers and properties and solutions of linear algebraic equations; provides dependable numerical methods for finding the zeros and extrema of single and multivariable functions; covers polynomial properties, manipulation and factoring techniques; explores matrix viewpoint of vector analysis, vector spaces and coordinate transforms; provides in-depth treatment of least squares, curve fitting and recursive least squares estimation; and examines analytical, numerical and computational aspects of solving linear and nonlinear differential systems.
More details
Language
English
Place of publication
Upper Saddle River
United States
Target group
College/higher education
Dimensions
Height: 234 mm
Width: 178 mm
Weight
734 gr
ISBN-13
978-0-13-035056-5 (9780130350565)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Gene H. Hostetter | etc.
Analytical, Numerical and Computational Methods for Science and Engineering
Book
11/1990
Prentice-Hall
€38.37
Article is exhausted; no reprint
Persons
Author
Rockwell International Corporation, USA
California State University, USA
Content
Introduction; simultaneous linear algebraic equations; single variable seraches for zeros, maxima and minima; multivariable functions and searches; polynomials and factoring; matrix algebra; the characteristic value problem; quadratic forms and least squares; differential equations.