Scientific Computing by Michael T. Heath (2001, Hardcover, Revised edition)

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Características del artículo

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En muy buen estado: Libro que se ha leído y que no tiene un aspecto nuevo, pero que está en un ...
ISBN
9780072399103
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Product Identifiers

Publisher
McGraw-Hill Higher Education
ISBN-10
0072399104
ISBN-13
9780072399103
eBay Product ID (ePID)
1928402

Product Key Features

Number of Pages
576 Pages
Publication Name
Scientific Computing
Language
English
Subject
Numerical Analysis, General
Publication Year
2001
Features
Revised
Type
Textbook
Subject Area
Mathematics, Non-Classifiable, Science
Author
Michael T. Heath
Format
Hardcover

Dimensions

Item Height
1.1 in
Item Weight
35.9 Oz
Item Length
9.5 in
Item Width
7.5 in

Additional Product Features

Edition Number
2
Intended Audience
College Audience
LCCN
2001-031265
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
519.4/0285
Edition Description
Revised edition
Table Of Content
1 Scientific Computing 2 Systems of Linear Equations 3 Linear Least Squares 4 Eigenvalues Problems 5 Nonlinear Equations 6 Optimization 7 Interpolation 8 Numerical Integration and Differentiation 9 Initial Value Problems for ODEs 10 Boundary Value Problems for ODEs 11 Partial Differential Equations 12 Fast Fourier Transform 13 Random Numbers and Simulation
Synopsis
Heath 2/e, presents a broad overview of numerical methods for solving all the major problems in scientific computing, including linear and nonlinearequations, least squares, eigenvalues, optimization, interpolation, integration, ordinary and partial differential equations, fast Fourier transforms, and random number generators. The treatment is comprehensive yet concise, software-oriented yet compatible with a variety of software packages and programming languages. The book features more than 160 examples, 500 review questions, 240 exercises, and 200 computer problems.Changes for the second edition include: expanded motivational discussions and examples; formal statements of all major algorithms; expanded discussions of existence, uniqueness, and conditioning for each type of problem so that students can recognize "good" and "bad" problem formulations and understand the corresponding quality of results produced; and expanded coverage of several topics, particularly eigenvalues and constrained optimization.The book contains a wealth of material and can be used in a variety of one- or two-term courses in computer science, mathematics, or engineering. Its comprehensiveness and modern perspective, as well as the software pointers provided, also make it a highly useful reference for practicing professionals who need to solve computational problems., Heath 2/e, presents a broad overview of numerical methods for solving all the major problems in scientific computing, including linear and nonlinear equations, least squares, eigenvalues, optimization, interpolation, integration, ordinary and partial differential equations, fast Fourier transforms, and random number generators. The treatment is comprehensive yet concise, software-oriented yet compatible with a variety of software packages and programming languages. The book features more than 160 examples, 500 review questions, 240 exercises, and 200 computer problems. Changes for the second edition include: expanded motivational discussions and examples; formal statements of all major algorithms; expanded discussions of existence, uniqueness, and conditioning for each type of problem so that students can recognize "good" and "bad" problem formulations and understand the corresponding quality of results produced; and expanded coverage of several topics, particularly eigenvalues and constrained optimization. The book contains a wealth of material and can be used in a variety of one- or two-term courses in computer science, mathematics, or engineering. Its comprehensiveness and modern perspective, as well as the software pointers provided, also make it a highly useful reference for practicing professionals who need to solve computational problems.
LC Classification Number
Q183.9.H4 2002

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