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9780471316473

An Introduction to Numerical Methods and Analysis

by
  • ISBN13:

    9780471316473

  • ISBN10:

    0471316474

  • Format: Hardcover
  • Copyright: 2001-08-01
  • Publisher: Wiley

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Supplemental Materials

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Summary

Emphasis on "cause and effect" in numerical mathematics. 'ˆ— Flexibility with computing languages--the book is not specific to any one computing language.

Table of Contents

Preface vii
Acknowledgments x
Introductory Concepts and Calculus Review
1(36)
Basic Tools of Calculus
2(12)
Taylor's Theorem
2(7)
Mean Value and Extreme Value Theorems
9(5)
Error, Approximate Equality, and Asymptotic Order Notation
14(6)
Error
14(1)
Notation: Approximate Equality
15(1)
Notation: Asymptotic Order
16(4)
A Primer on Computer Arithmetic
20(8)
A Word on Computer Languages and Software
28(1)
Simple Approximations
29(4)
Application: Approximating the Natural Logarithm
33(4)
A Survey of Simple Methods and Tools
37(43)
Homer's Rule and Nested Multiplication
37(3)
Difference Approximations to the Derivative
40(8)
Application: Euler's Method for Initial Value Problems
48(5)
Linear Interpolation
53(7)
Application: The Trapezoid Rule
60(9)
Solution of Tridiagonal Linear Systems
69(6)
Application: Simple Two-Point Boundary Value Problems
75(5)
Root Finding
80(70)
The Bisection Method
81(6)
Newton's Method: Derivation and Examples
87(6)
How to Stop Newton's Method
93(3)
Application:Division Using Newton's Method.
96(4)
The Newton Error Formula
100(5)
Newton's Method: Theory and Convergence
105(4)
Application:Computation of the Square Root
109(2)
The Secant Method: Derivation and Examples
111(5)
Fixed-Point Iteration
116(10)
Special Topics in Root-Finding Methods
126(24)
Extrapolation and Acceleration
126(5)
Variants of Newton's Method
131(4)
The Secant Method: Derivation and Examples
135(4)
Multiple Roots
139(5)
In Search of Fast Global Convergence: Hybrid Algorithm
144(5)
Literature and Software Discussion
149(1)
Interpolation and Approximation
150(95)
Lagrange Interpolation
151(5)
Newton Interpolation and Divided Differences
156(10)
Interpolation Error
166(4)
Application: Muller's Method and Inverse Quadratic
170(4)
Application: More Approximations to the Derivative
174(3)
Hermite Interpolation
177(5)
Piecewise Polynomial Interpolation
182(7)
An Introduction to Splines
189(15)
Definition of the Problem
189(1)
Cubic B-Splines
190(14)
Application: Solution of Boundary Value Problems
204(5)
Least Squares Concepts in Approximation
209(21)
An Introduction to Data Fitting
209(6)
Least Squares Approximation and Orthogonal
215(15)
Advanced Topics in Interpolation Error
230(13)
Stability of Polynomial Interpolation
230(4)
The Runge Example
234(3)
The Chebyshev Nodes
237(6)
Literature and Software Discussion
243(2)
Numerical Integration
245(67)
A Review of the Definite Integral
246(2)
Improving the Trapezoid Rule
248(5)
Simpson's Rule and Degree of Precision
253(12)
The Midpoint Rule
265(3)
Application: Stirling's Formula
268(2)
Gaussian Quadrature
270(11)
Extrapolation Methods
281(7)
Special Topics in Numerical Integration
288(24)
Romberg Integration
288(5)
Quadrature with Nonsmooth Integrands
293(6)
Adaptive Integration
299(8)
Peano Estimates for the Trapezoid Rule
307(4)
Literature and Software Discussion
311(1)
Numerical Methods for Ordinary Differential Equations
312(82)
The Initial Value Problem: Background
313(5)
Euler's Method
318(4)
Analysis of Euler's Method
322(4)
Variants of Euler's Method
326(17)
The Residual and Truncation Error
329(2)
Implicit Methods and Predictor-Corrector Schemes
331(6)
Starting Values and Multistep Methods
337(2)
The Midpoint Method and Weak Stability
339(4)
Single Step Methods: Runge-Kutta
343(7)
Multistep Methods
350(6)
The Adams Families
350(4)
The BDF Family
354(2)
Stability Issues
356(7)
Stability Theory for Multistep Methods
356(4)
Stability Regions
360(3)
Application to Systems of Equations.
363(7)
Implementation Issues and Examples
363(3)
Stiff Equations
366(2)
A-Stability
368(2)
Adaptive Solvers
370(13)
Boundary Value Problems
383(9)
Simple Difference Methods
383(5)
Shooting Methods
388(4)
Literature and Software Discussion
392(2)
Numerical Methods for the Solution of Systems
394(62)
Linear Algebra Review
395(2)
Linear Systems and Gaussian Elimination
397(7)
Operation Counts
404(2)
The LU Factorization
406(10)
Perturbation, Conditioning, and Stability
416(18)
Vector and Matrix Norms of Equations
417(2)
The Condition Number and Perturbations
419(8)
Estimating the Condition Number
427(3)
Iterative Refinement
430(4)
SPD Matrices and the Cholesky Decomposition
434(3)
Iterative Methods for Linear Systems: A Brief Survey
437(9)
Nonlinear Systems: Newton's Method and Related Ideas
446(6)
Newton's Method
447(3)
Fixed-Point Methods
450(2)
Application: Numerical Solution of Nonlinear BVPs
452(2)
Literature and Software Discussion
454(2)
Approximate Solution of the Algebraic Eigenvalue Problem
456(44)
Eigenvalue Review
457(6)
Reduction to Hessenberg Form
463(8)
Power Methods
471(19)
An Overview of the QR Iteration
490(10)
Literature and Software Discussion
499(1)
A Survey of Finite Difference Methods for Partial Differential Equations
500(35)
Difference Methods for the Diffusion Equation
501(16)
The Basic Problem
501(1)
The Explicit Method and Stability
502(5)
Implicit Methods and the Crank-Nicolson Method
507(10)
Difference Methods for Poisson Equations
517(18)
Discretization
517(3)
Banded Cholesky Solvers
520(2)
Iteration and the Method of Conjugate Gradients
522(11)
Literature and Software Discussion
533(2)
APPENDIX A PROOFS OF SELECTED THEOREMS, AND OTHER ADDITIONAL MATERIAL 535(7)
A.1 Proofs of the Interpolation Error Theorems
535(2)
A.2 Proof of Stability
537(1)
A.3 Stiff Systems of Differential Equations and Eigenvalues
538(2)
A.4 The Matrix Perturbation Theorem
540(2)
APPENDIX B PROOFS OF SELECTED THEOREMS, AND OTHER ADDITIONAL Material 542(7)
Index 549

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