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Numerical Mathematics and Computing

ISBN: 9780534201128 | 0534201121
Edition: 3rd
Format: Paperback
Publisher: Brooks Cole
Pub. Date: 1/13/1994

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Table of Contents
1 Introduction
1(38)
Preliminary Remarks2(2)
Nested Multiplication2(1)
Rounding and Chopping3(1)
... MORE
1.1 Programming Suggestions
4(14)
Programming and Coding Advice
4(2)
Case Studies
6(4)
Programming Experiment
10(8)
1.2 Review of Taylor Series
18(21)
Taylor Series
18(3)
Taylor's Theorem in Terms of (x - c)
21(2)
Mean-Value Theorem
23(1)
Taylor's Theorem in Terms of h
24(2)
Alternating Series
26(13)
2 Number Representation and Errors
39(43)
2.1 Representation of Numbers in Different Bases
39(10)
Base Beta Numbers
40(1)
Conversion of Integer Part
41(2)
Conversion of Fractional Part
43(2)
Base Conversion 10 (XXX) 8 (XXX) 2
45(2)
Base 16
47(1)
More Examples
47(2)
2.2 Floating-Point Representation
49(16)
Normalized Floating-Point Representation
50(2)
Hypothetical Marc-32 Computer
52(3)
Computer Errors in Representing Numbers
55(2)
Notation fl(x) and Inverse Error Analysis
57(8)
2.3 Loss of Significance
65(17)
Significant Digits
65(1)
Computer-Caused Loss of Significance
66(2)
Theorem on Loss of Precision
68(1)
Avoiding Loss of Significance in Subtraction
69(3)
Range Reduction
72(10)
3 Locating Roots of Equations
82(37)
3.1 Bisection Method
84(9)
Bisection Algorithm and Pseudocode
84(2)
Use of Pseudocode
86(2)
Convergence Analysis
88(5)
3.2 Newton's Method
93(16)
Interpretations of Newton's Method
93(2)
Pseudocode
95(1)
Illustration
95(2)
Convergence Analysis
97(12)
3.3 Secant Method
109(10)
Interpretations of Secant Method
109(1)
Secant Algorithm
110(1)
Convergence Analysis
111(3)
Summary
114(5)
4 Interpolation and Numerical Differentiation
119(46)
4.1 Polynomial Interpolation
120(22)
Existence of Interpolating Polynomial
120(2)
Newton Interpolating Polynomial
122(1)
Nested Form
123(2)
Calculating Coefficients a(i) Using Divided Differences
125(5)
Algorithms and Pseudocode
130(3)
Inverse Interpolation
133(1)
Lagrange Interpolating Polynomial
134(8)
4.2 Errors in Polynomial Interpolation
142(9)
Examples
143(1)
Theorems on Interpolation Errors
144(7)
4.3 Estimating Derivatives and Richardson Extrapolation
151(14)
First-Derivative Formulas via Taylor Series
152(2)
Richardson Extrapolation
154(3)
First-Derivative Formulas via Interpolation Polynomials
157(3)
Second-Derivative Formulas via Taylor Series
160(5)
5 Numerical Integration
165(52)
5.1 Definite Integral
165(9)
Definite and Indefinite Integrals
165(2)
Lower and Upper Sums
167(2)
Riemann-Integrable Functions
169(1)
Examples and Pseudocode
170(4)
5.2 Trapezoid Rule
174(14)
Description
174(2)
Uniform Spacing
176(1)
Error Analysis
177(3)
Applying the Error Formula
180(2)
Recursive Trapezoid Formula for 2^n Equal Subintervals
182(6)
5.3 Romberg Algorithm
188(11)
Description
188(1)
Pseudocode
189(1)
Derivation
190(3)
General Extrapolation
193(6)
5.4 An Adaptive Simpson's Scheme
199(7)
Simpson's Rule
199(2)
Adaptive Simpson's Algorithm
201(2)
Pseudocode
203(1)
Example Using Adaptive Simpson Procedure
204(2)
5.5 Gaussian Quadrature Formulas
206(11)
Description
206(2)
Gaussian Nodes and Weights
208(2)
Legendre Polynomials
210(7)
6 Systems of Linear Equations
217(61)
6.1 Naive Gaussian Elimination
218(12)
Numerical Example
218(2)
Algorithm
220(2)
Pseudocode
222(3)
Testing the Pseudocode
225(1)
Residual and Error Vectors
226(4)
6.2 Gaussian Elimination with Scaled Partial Pivoting
230(19)
Examples Where Naive Gaussian Elimination Fails
230(2)
Gaussian Elimination with Scaled Partial Pivoting
232(2)
Numerical Example
234(2)
Pseudocode
236(3)
Long Operation Count
239(2)
Examples of Software Packages
241(8)
6.3 Tridiagonal and Banded Systems
249(9)
Tridiagonal Systems
250(2)
Diagonal Dominance
252(1)
Pentadiagonal Systems
252(6)
6.4 LU Factorization
258(20)
Numerical Example
259(3)
Formal Derivation
262(4)
Solving Linear Systems Using LU Factorization
266(2)
Computing A^(-1)
268(1)
Example of a Software Package
268(10)
7 Approximation by Spline Functions
278(47)
7.1 First-Degree and Second-Degree Splines
278(10)
First-Degree Spline
278(3)
Second-Degree Splines
281(1)
Quadratic Spline Q(x)
282(1)
Subbotin Quadratic Spline
283(5)
7.2 Natural Cubic Splines
288(20)
Introduction
288(2)
Natural Cubic Spline
290(1)
Algorithm for Natural Cubic Spline
291(5)
Pseudocode for Natural Cubic Splines
296(2)
Using Pseudocode for Interpolating and Curve Fitting
298(3)
Smoothness Property
301(7)
7.3 B Splines
308(8)
7.4 Interpolation and Approximation by B Splines
316(9)
Pseudocode and a Curve-Fitting Example
318(2)
Schoenberg's Process
320(1)
Pseudocode
321(4)
8 Ordinary Differential Equations
325(34)
Initial-Value Problem: Analytical vs. Numerical Solution325(2)
8.1 Taylor Series Methods
327(8)
Euler's Method Pseudocode
328(1)
Taylor Series Method of Higher Order
329(2)
Types of Errors
331(4)
8.2 Runge-Kutta Methods
335(12)
Taylor Series for f(x, y)
336(1)
Runge-Kutta Method of Order 2
337(2)
Pseudocode
339(8)
8.3 Stability and Adaptive Runge-Kutta Methods
347(12)
Stability Analysis
347(2)
An Adaptive Runge-Kutta-Fehlberg Method
349(4)
Solving Differential Equations and Integration
353(6)
9 Systems of Ordinary Differential Equations
359(22)
9.1 Methods for First-Order Systems
359(10)
Uncoupled and Coupled Systems
360(1)
Taylor Series Method
361(1)
Simplification
362(2)
Taylor Series Method: Vector Notation
364(1)
Runge-Kutta Method
365(4)
9.2 Higher-Order Equations and Systems
369(6)
Higher-Order Differential Equations
370(1)
Systems of Differential Equations
371(4)
9.3 Adams-Moulton Methods
375(6)
A Predictor-Corrector Scheme
375(1)
Pseudocode
376(4)
An Adaptive Scheme
380(1)
10 Smoothing of Data and the Method of Least Squares
381(29)
10.1 The Method of Least Squares
381(8)
Linear Least Squares
381(3)
Linear Example
384(1)
Nonpolynomial Example
384(1)
Basis Functions (g0, g1,...,gn)
385(4)
10.2 Orthogonal Systems and Chebyshev Polynomials
389(13)
Orthonormal Basis Functions (g0, g1,...,gn)
389(3)
Outline of Algorithm
392(2)
Smoothing Data: Polynomial Regression
394(8)
10.3 Other Examples of the Least Squares Principle
402(8)
Weight Function w(x)
403(2)
Nonlinear Example
405(1)
Linear/Nonlinear Example
406(4)
11 Monte Carlo Methods and Simulation
410(30)
11.1 Random Numbers
411(11)
Random-Number Algorithms/Generators
411(3)
Examples
414(2)
Uses of Pseudocode random
416(6)
11.2 Estimation of Areas and Volumes by Monte Carlo Techniques
422(8)
Numerical Integration
422(1)
Example and Pseudocode
423(2)
Computing Volumes
425(1)
Ice Cream Cone Example
426(4)
11.3 Simulation
430(10)
Loaded Die Problem
430(1)
Birthday Problem
431(1)
Buffon's Needle Problem
432(1)
Two Dice Problem
433(1)
Neutron Shielding
434(6)
12 Boundary Value Problems for Ordinary Differential Equations
440(18)
12.1 Shooting Method
441(6)
Shooting Method Algorithm
442(2)
Modifications and Refinements
444(3)
12.2 A Discretization Method
447(11)
Finite Difference Approximations
447(1)
The Linear Case
448(1)
Pseudocode and Numerical Example
449(2)
Shooting Method in Linear Case
451(1)
Pseudocode and Numerical Example
452(6)
13 Partial Differential Equations
458(30)
Some Partial Differential Equations from Applied Problems458(2)
13.1 Parabolic Problems
460(8)
Heat Equation Model Problem
460(1)
Finite-Difference Method
460(2)
Pseudocode for Explicit Method
462(1)
Crank-Nicolson Method
463(1)
Pseudocode for Crank-Nicolson Method
464(1)
Alternative Version of Crank-Nicolson Method
465(3)
13.2 Hyperbolic Problems
468(7)
Wave Equation Model Problem
468(1)
Analytic Solution
469(2)
Numerical Solution
471(1)
Pseudocode
472(3)
13.3 Elliptic Problems
475(13)
Helmholtz Equation Model Problem
475(1)
Finite-Difference Method
476(4)
Gauss-Seidel Iterative Method
480(1)
Numerical Example and Computer Program
481(7)
14 Minimization of Multivariate Functions
488(28)
Unconstrained and Constrained Minimization Problems489(1)
14.1 One-Variable Case
489(13)
Unimodal F
490(1)
The Fibonacci Search Algorithm
491(3)
The Golden Section Search Algorithm
494(2)
Taylor Series Algorithm
496(6)
14.2 Multivariate Case
502(14)
Taylor Series for F: Gradient Vector and Hessian Matrix
502(2)
Alternative Form of Taylor Series
504(2)
Steepest Descent Procedure
506(1)
Contour Diagrams
507(1)
More Advanced Algorithms
507(2)
Minimum, Maximum, and Saddle Points
509(1)
Positive Definite Matrix
510(6)
15 Linear Programming
516(25)
15.1 Standard Forms and Duality
516(12)
First Primal Form
516(1)
Numerical Example
517(2)
Transforming Problems into First Primal Form
519(1)
Dual Problem
520(2)
Second Primal Form
522(6)
15.2 Simplex Method
528(5)
Vertices in K and Linearly Independent Columns of A
529(2)
Simplex Method
531(2)
15.3 Approximate Solution of Inconsistent Linear Systems
533(8)
L(1) Problem
533(3)
L(Infinity) Problem
536(5)
APPENDIX A Linear Algebra Concepts and Notation541
Answers for Selected Problems553(4)
Bibliography567(6)
Index573

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