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Numerical methods using MATLAB

By: Mathews,John HContributor(s): Fink, Kurtis DMaterial type: Text

TextPublication details: New Delhi: Prentice Hall of India, 2005Edition: 4th edDescription: ix, 680 pages : illustrationsISBN: 9780130652485 ; 0130652482 ; 9780131911789; 0131911783 ; 9788120327658 ; 8120327659Subject(s): Numerical analysis -- Data processingDDC classification: 519.4

Contents:

1. Preliminaries -- 2. Solution of nonlinear equations -- 3. Solution of linear systems -- 4. Interpolation and polynomial approximation -- 5. Curve fitting -- 6. Numerical differentiation -- 7. Numerical integration -- 8. Numerical optimization -- 9. Solution of differential equations -- 10. Solution of partial differential equations -- 11. Eigenvalues and eigenvectors -- Appendix: introduction to MATHLAB -- Answers to selected exercises --

Summary: For undergraduate Introduction to Numerical Analysis courses in mathematics, science, and engineering departments.This book provides a fundamental introduction to numerical analysis for undergraduate students in the areas of mathematics, computer science, physical sciences, and engineering. Knowledge of calculus is assumed.

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Lending Books	Main Library Stacks	Reference	519.4 MAT (Browse shelf(Opens below))	Available	013416
Lending Books	Main Library Stacks	Reference	519.4 MAT (Browse shelf(Opens below))	Available	012445
Reference Books	Main Library Reference	Reference	519.4 MAT (Browse shelf(Opens below))	Available	010711

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Previous	519.4 CHE NUMERICAL METHODS AND APPLICATIONS	519.4 EDE Geometry and Topology for Mesh Generation	519.4 HAM Numerical Methods for Scientists and Engineers	519.4 MAT Numerical methods using MATLAB	519.4 SCH Schaum's Outline Of Theory and Problems of Numerical Analysis	519.4 STO Introduction to numerical analysis /	519.4 YOU A Survey of numerical mathematics	Next

Includes Index

1. Preliminaries --
2. Solution of nonlinear equations --
3. Solution of linear systems --
4. Interpolation and polynomial approximation --
5. Curve fitting --
6. Numerical differentiation --
7. Numerical integration --
8. Numerical optimization --
9. Solution of differential equations --
10. Solution of partial differential equations --
11. Eigenvalues and eigenvectors --
Appendix: introduction to MATHLAB --
Answers to selected exercises --

For undergraduate Introduction to Numerical Analysis courses in mathematics, science, and engineering departments.This book provides a fundamental introduction to numerical analysis for undergraduate students in the areas of mathematics, computer science, physical sciences, and engineering. Knowledge of calculus is assumed.

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