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Preface | p. xi |
Theory | p. 1 |
Introduction | p. 3 |
Orthogonal Polynomials | p. 8 |
Definition of Orthogonal Polynomials | p. 8 |
Three-Term Recurrences | p. 10 |
Properties of Zeros | p. 14 |
Historical Remarks | p. 15 |
Examples of Orthogonal Polynomials | p. 15 |
Variable-Signed Weight Functions | p. 20 |
Matrix Orthogonal Polynomials | p. 21 |
Properties of Tridiagonal Matrices | p. 24 |
Similarity | p. 24 |
Cholesky Factorizations of a Tridiagonal Matrix | p. 25 |
Eigenvalues and Eigenvectors | p. 27 |
Elements of the Inverse | p. 29 |
The QD Algorithm | p. 32 |
The Lanczos and Conjugate Gradient Algorithms | p. 39 |
The Lanczos Algorithm | p. 39 |
The Nonsymmetric Lanczos Algorithm | p. 43 |
The Golub-Kahan Bidiagonalization Algorithms | p. 45 |
The Block Lanczos Algorithm | p. 47 |
The Conjugate Gradient Algorithm | p. 49 |
Computation of the Jacobi Matrices | p. 55 |
The Stieltjes Procedure | p. 55 |
Computing the Coefficients from the Moments | p. 56 |
The Modified Chebyshev Algorithm | p. 58 |
The Modified Chebyshev Algorithm for Indefinite Weight Functions | p. 61 |
Relations between the Lanczos and Chebyshev Semi-Iterative Algorithms | p. 62 |
Inverse Eigenvalue Problems | p. 66 |
Modifications of Weight Functions | p. 72 |
Gauss Quadrature | p. 84 |
Quadrature Rules | p. 84 |
The Gauss Quadrature Rules | p. 86 |
The Anti-Gauss Quadrature Rule | p. 92 |
The Gauss-Kronrod Quadrature Rule | p. 95 |
The Nonsymmetric Gauss Quadrature Rules | p. 99 |
The Block Gauss Quadrature Rules | p. 102 |
Bounds for Bilinear Forms uT f(A)v | p. 112 |
Introduction | p. 112 |
The Case u = v | p. 113 |
The Case u ? v | p. 114 |
The Block Case | p. 115 |
Other Algorithms for u ? v | p. 115 |
Extensions to Nonsymmetric Matrices | p. 117 |
Rules Based on the Nonsymmetric Lanczos Algorithm | p. 118 |
Rules Based on the Arnoldi Algorithm | p. 119 |
Solving Secular Equations | p. 122 |
Examples of Secular Equations | p. 122 |
Secular Equation Solvers | p. 129 |
Numerical Experiments | p. 134 |
Applications | p. 137 |
Examples of Gauss Quadrature Rules | p. 139 |
The Golub and Welsch Approach | p. 139 |
Comparisons with Tables | p. 140 |
Using the Full QR Algorithm | p. 141 |
Another Implementation of QR | p. 143 |
Using the QL Algorithm | p. 144 |
Gauss-Radau Quadrature Rules | p. 144 |
Gauss-Lobatto Quadrature Rules | p. 146 |
Anti-Gauss Quadrature Rule | p. 148 |
Gauss-Kronrod Quadrature Rule | p. 148 |
Computation of Integrals | p. 149 |
Modification Algorithms | p. 155 |
Inverse Eigenvalue Problems | p. 156 |
Bounds and Estimates for Elements of Functions of Matrices | p. 162 |
Introduction | p. 162 |
Analytic Bounds for the Elements of the Inverse | p. 163 |
Analytic Bounds for Elements of Other Functions | p. 166 |
Computing Bounds for Elements of f(A) | p. 167 |
Solving Ax = c and Looking at d T/x | p. 167 |
Estimates of tr(A-1) and det(A) | p. 168 |
Krylov Subspace Spectral Methods | p. 172 |
Numerical Experiments | p. 173 |
Estimates of Norms of Errors in the Conjugate Gradient Algorithm | p. 200 |
Estimates of Norms of Errors in Solving Linear Systems | p. 200 |
Formulas for the A-Norm of the Error | p. 202 |
Estimates of the A-Norm of the Error | p. 203 |
Other Approaches | p. 209 |
Formulas for the l2 Norm of the Error | p. 210 |
Estimates of the l2 Norm of the Error | p. 211 |
Relation to Finite Element Problems | p. 212 |
Numerical Experiments | p. 214 |
Least Squares Problems | p. 227 |
Introduction to Least Squares | p. 227 |
Least Squares Data Fitting | p. 230 |
Numerical Experiments | p. 237 |
Numerical Experiments for the Backward Error | p. 253 |
Total Least Squares | p. 256 |
Introduction to Total Least Squares | p. 256 |
Scaled Total Least Squares | p. 259 |
Total Least Squares Secular Equation Solvers | p. 261 |
Discrete Ill-Posed Problems | p. 280 |
Introduction to Ill-Posed Problems | p. 280 |
Iterative Methods for Ill-Posed Problems | p. 295 |
Test Problems | p. 298 |
Study of the GCV Function | p. 300 |
Optimization of Finding the GCV Minimum | p. 305 |
Study of the L-Curve | p. 313 |
Comparison of Methods for Computing the Regularization Parameter | p. 325 |
Bibliography | p. 335 |
Index | p. 361 |
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