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Scientific Computing by Michael T. Heath (2001, Hardcover)
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- Buy It NowScientific Computing: An Introductory Survey Michael T Heath Michael Heath
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About this product
Product Identifiers
PublisherMcGraw-Hill Higher Education
ISBN-100072399104
ISBN-139780072399103
eBay Product ID (ePID)1928402
Product Key Features
Number of Pages576 Pages
Publication NameScientific Computing
LanguageEnglish
SubjectNumerical Analysis, General
Publication Year2001
FeaturesRevised
TypeTextbook
Subject AreaMathematics, Non-Classifiable, Science
AuthorMichael T. Heath
FormatHardcover
Dimensions
Item Height1.1 in
Item Weight35.9 Oz
Item Length9.5 in
Item Width7.5 in
Additional Product Features
Edition Number2
Intended AudienceCollege Audience
LCCN2001-031265
Dewey Edition21
IllustratedYes
Dewey Decimal519.4/0285
Edition DescriptionRevised edition
Table Of Content1 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
SynopsisHeath 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 NumberQ183.9.H4 2002
