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

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    Oggetto che si trova a: Fairbanks, Alaska, Stati Uniti
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    Specifiche dell'oggetto

    Condizione
    Ottime condizioni: Libro che non sembra nuovo ed è già stato letto, ma è in condizioni eccellenti. ...
    ISBN
    9780072399103
    Categoria

    Informazioni su questo prodotto

    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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