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Matrices, Moments and Quadrature with Applications
Matrices, Moments and Quadrature with Applications
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A01=Gene H. Golub
A01=Gerard Meurant
Algorithm
Author_Gene H. Golub
Author_Gerard Meurant
Basis (linear algebra)
Biconjugate gradient method
Bidiagonal matrix
Bilinear form
Calculation
Category=PB
Characteristic polynomial
Coefficient
Computation
Condition number
Conjugate gradient method
Conjugate transpose
Cross-validation (statistics)
Determinant
Diagonal matrix
Dimension (vector space)
Eigenvalues and eigenvectors
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Equation
Estimation
Factorization
Function (mathematics)
Function of a real variable
Gaussian quadrature
Hankel matrix
Hessenberg matrix
Hilbert matrix
Holomorphic function
Identity matrix
Inverse iteration
Inverse problem
Invertible matrix
Iteration
Iterative method
Jacobi matrix
Krylov subspace
Laguerre polynomials
Lanczos algorithm
Linear differential equation
Linear regression
Machine epsilon
Matrix function
Matrix polynomial
Meromorphic function
Moment (mathematics)
Moment matrix
Monic polynomial
Newton's method
Numerical integration
Orthogonal polynomials
Orthogonal transformation
Orthogonalization
Orthonormal basis
Partial fraction decomposition
Polynomial
QR algorithm
QR decomposition
Quadratic form
Rate of convergence
Recurrence relation
Regularization (mathematics)
Rotation matrix
Singular value
Square (algebra)
Symmetric matrix
Tikhonov regularization
Trace (linear algebra)
Tridiagonal matrix
Upper and lower bounds
Variable (mathematics)
Weight function
Product details
- ISBN 9780691143415
- Weight: 652g
- Dimensions: 152 x 235mm
- Publication Date: 27 Dec 2009
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Hardback
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This computationally oriented book describes and explains the mathematical relationships among matrices, moments, orthogonal polynomials, quadrature rules, and the Lanczos and conjugate gradient algorithms. The book bridges different mathematical areas to obtain algorithms to estimate bilinear forms involving two vectors and a function of the matrix. The first part of the book provides the necessary mathematical background and explains the theory. The second part describes the applications and gives numerical examples of the algorithms and techniques developed in the first part. Applications addressed in the book include computing elements of functions of matrices; obtaining estimates of the error norm in iterative methods for solving linear systems and computing parameters in least squares and total least squares; and solving ill-posed problems using Tikhonov regularization. This book will interest researchers in numerical linear algebra and matrix computations, as well as scientists and engineers working on problems involving computation of bilinear forms.
Gene H. Golub (1932-2007) was the Fletcher Jones Professor of Computer Science at Stanford University and the coauthor of "Matrix Computations". Gerard Meurant, the author of three books on numerical linear algebra, has worked in scientific computing for almost four decades. He is retired from France's Commissariat a l'Energie Atomique.
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