Numerical mathematics and computing / Ward Cheney, David Kincaid.
By: Cheney, E. W. (Elliott Ward) [author]
.
Contributor(s): Kincaid, David (David Ronald) [author]
.
Material type:
BookPublisher: Pacific Grove, CA : Brooks/Cole, 1999Edition: Fourth edition.Description: xv, 671 pages : illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 0534351840 (hardback); 9780534351847 (hardback).Subject(s): Numerical analysis -- Data processing| Item type | Current library | Call number | Copy number | Status | Barcode | |
|---|---|---|---|---|---|---|
| General lending | MTU Bishopstown Library Lending | 518 (Browse shelf(Opens below)) | 1 | Available | 00100435 |
Browsing MTU Bishopstown Library shelves, Shelving location: Lending Close shelf browser (Hides shelf browser)
Enhanced descriptions from Syndetics:
Authors Cheney and Kincaid show students of science and engineering the modern computer's potential for solving numerical problems and gives them ample opportunity to hone their skills in programming and problem solving. The text helps students learn about errors that inevitably accompany scientific computing and arms them with methods for detecting, predicting, and controlling these errors. In this edition a discussion of how to locate codes for numerical algorithms on the World Wide Web has been added. A new section on iterative methods for solving large systems of linear equations has also been added. A less scholarly approach and a different menu of topics sets this book apart from the authors' highly regarded NUMERICAL ANALYSIS: MATHEMATICS OF SCIENTIFIC COMPUTING, SECOND EDITION.
"Gary W. Ostedt book"--T.p. verso.
Bibliography: (pages 653-660) and index.
Introduction -- Number representation and errors -- Locating roots of equations -- Interpolation and numerical differentiation -- Numerical integration -- 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 multivariate functions -- Linear programming.