MTU Library Catalogue

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Numerical mathematics and computing / Ward Cheney and David Kincaid.

By: Cheney, E. W. (Elliott Ward), 1929- [author].
Contributor(s): Kincaid, David (David Ronald) [author].
Material type: materialTypeLabelBookPublisher: Belmont, California : Brooks/Cole - Thomson Learning, [2004]Copyright date: ©2004Edition: Fifth edition.Description: xviii, 817 pages : illustrations ; 25 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 0534389937 (hardback); 9780534389932 (hardback).Subject(s): Numerical analysis -- Data processingDDC classification: 518
Contents:
Introduction -- Number representation and errors -- Locating roots of equations -- Interpolation and numerical differentiation -- Numerical integration -- More on numerical integration -- Systems of linear equations -- More on systems of linear equations -- Approximation by spline functions -- Ordinary differential equations -- Systems of ordinary differential equations -- Smoothing of data and the method of least squares -- Monte Carlo methods and simulation -- Boundary value problems for ordinary differential equations -- Partial differential equations -- Minimization of functions -- Linear programming.

Enhanced descriptions from Syndetics:

Authors Ward Cheney and David Kincaid show students of science and engineering the potential computers have for solving numerical problems and give them ample opportunities to hone their skills in programming and problem solving. The text also helps students learn about errors that inevitably accompany scientific computations and arms them with methods for detecting, predicting, and controlling these errors. A more theoretical text with a different menu of topics is the authors' highly regarded NUMERICAL ANALYSIS: MATHEMATICS OF SCIENTIFIC COMPUTING, THIRD EDITION.

Bibliography: (pages 795-803) and index.

Introduction -- Number representation and errors -- Locating roots of equations -- Interpolation and numerical differentiation -- Numerical integration -- More on numerical integration -- Systems of linear equations -- More on systems of linear equations -- Approximation by spline functions -- Ordinary differential equations -- Systems of ordinary differential equations -- Smoothing of data and the method of least squares -- Monte Carlo methods and simulation -- Boundary value problems for ordinary differential equations -- Partial differential equations -- Minimization of functions -- Linear programming.