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Applied numerical method with MATLAB for engineers and scientists / Steven C. Chapra

By: Chapra, Steven C [author]Material type: Text

TextPublication details: New York : McGraw Hill, 2012Edition: Third editionDescription: iv, 653 pages : illustrations ; 24 cmISBN: 9780071086189Subject(s): MATLAB -- TEXTBOOKS | NUMERICAL ANALYSIS DATA PROCESSING -- TEXTBOOKS | ENGINEERING MATHEMATICS -- TEXTBOOKSLOC classification: QA 297 .C43 2012

Contents:

Part One: Modeling, Computers, and Error Analysis -- 1: Mathematical Modelin Numerical Methods and Problem Solving -- 2: MATLAB Fundamentals -- 3: Programming with MATLAB -- 4: Roundoff and Truncation Errors -- Part Two: Roots and Optimization -- 5: Roots: Bracketing Methods -- 6: Roots: Open Methods -- 7: Optimization -- Part Three: Linear Systems -- 8: Linear Algebraic Equations and Matrices -- 9: Gauss Elimination -- 10: LU Factorization -- 11: Matrix Inverse and Condition -- 12: Iterative Methods -- 13: Eigenvalues -- Part Four: Curve Fitting -- 14: Linear Regression -- 15: General Linear Least-Squares and Nonlinear Regression -- 16: Fourier Analysis -- 17: Polynomial Interpolation -- 18: Splines and Piecewise Interpolation -- Part Five: Integration and Differentiation -- 19: Numerical Integration Formulas -- 20: Numerical Integration of Functions -- 21: Numerical Differentiation -- Part Six: Ordinary Differential Equations -- 22: Initial-Value Problems -- 23: Adaptive Methods and Stiff Systems -- 24: Boundary-Value Problems -- Appendix A: MATLAB Built-in Functions -- Appendix B MATLAB M-file Functions

Summary: Suitable for engineering and science students who need to learn numerical problem solving, this book introduces theory to inform key concepts which are framed in applications and demonstrated using MATLAB. It features chapters on Numerical Differentiation, Optimization, and Boundary-Value Problems (ODEs).

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Item type	Current library	Home library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	LRC - Main	National University - Manila	Gen. Ed. - COE	General Circulation	GC QA 297 .C43 2012 (Browse shelf (Opens below))	c.1	Available		NULIB000006476

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Previous	GC QA 297 .A88 2012 MATLAB : a practical introduction to programming and problem solving /	GC QA 297 .A99 1996 Numerical methods for engineers /	GC QA 297 .C43 2008 MATLAB programming for engineers /	GC QA 297 .C43 2012 Applied numerical method with MATLAB for engineers and scientists /	GC QA 297 .C43 2013 Matlab programming with applications for engineers /	GC QA 297 .E67 2002 c.1 An introduction to numerical methods and analysis /	GC QA 297 .E67 2002 c.2 An introduction to numerical methods and analysis /	Next

Includes bibliographical references and index.

Part One: Modeling, Computers, and Error Analysis --
1: Mathematical Modelin Numerical Methods and Problem Solving --
2: MATLAB Fundamentals --
3: Programming with MATLAB --
4: Roundoff and Truncation Errors --
Part Two: Roots and Optimization --
5: Roots: Bracketing Methods --
6: Roots: Open Methods --
7: Optimization --
Part Three: Linear Systems --
8: Linear Algebraic Equations and Matrices --
9: Gauss Elimination --
10: LU Factorization --
11: Matrix Inverse and Condition --
12: Iterative Methods --
13: Eigenvalues --
Part Four: Curve Fitting --
14: Linear Regression --
15: General Linear Least-Squares and Nonlinear Regression --
16: Fourier Analysis --
17: Polynomial Interpolation --
18: Splines and Piecewise Interpolation --
Part Five: Integration and Differentiation --
19: Numerical Integration Formulas --
20: Numerical Integration of Functions --
21: Numerical Differentiation --
Part Six: Ordinary Differential Equations --
22: Initial-Value Problems --
23: Adaptive Methods and Stiff Systems --
24: Boundary-Value Problems --
Appendix A: MATLAB Built-in Functions --
Appendix B MATLAB M-file Functions

Suitable for engineering and science students who need to learn numerical problem solving, this book introduces theory to inform key concepts which are framed in applications and demonstrated using MATLAB. It features chapters on Numerical Differentiation, Optimization, and Boundary-Value Problems (ODEs).

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