Numerical Linear Algebra (Golub & Van Loan)
GPTKB entity
Statements (54)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:book
|
| gptkbp:author |
gptkb:Gene_H._Golub
gptkb:Charles_F._Van_Loan |
| gptkbp:edition |
Second Edition
|
| gptkbp:hasTextbook |
graduate courses in numerical linear algebra
|
| https://www.w3.org/2000/01/rdf-schema#label |
Numerical Linear Algebra (Golub & Van Loan)
|
| gptkbp:influencedBy |
applied mathematics
scientific computing |
| gptkbp:ISBN |
978-0-89871-361-9
|
| gptkbp:language |
English
|
| gptkbp:pages |
694
|
| gptkbp:publicationYear |
1996
|
| gptkbp:publisher |
gptkb:Society_for_Industrial_and_Applied_Mathematics
|
| gptkbp:subject |
numerical analysis
matrix computations numerical linear algebra |
| gptkbp:topic |
gptkb:Lanczos_algorithm
gptkb:Arnoldi_iteration gptkb:Schur_decomposition gptkb:Jordan_canonical_form iterative methods LU decomposition QR decomposition numerical stability orthogonal matrices unitary matrices singular value decomposition orthogonalization parallel algorithms floating point arithmetic sparse matrices preconditioning conjugate gradient method eigenvalue problems block matrices Krylov subspace methods least squares problems matrix factorizations matrix equations matrix norms generalized eigenvalue problems GMRES backward error analysis Givens rotations Householder transformations applications in engineering applications in science conditioning of problems least squares via QR least squares via SVD matrix perturbation theory stability and conditioning |
| gptkbp:bfsParent |
gptkb:Numerical_Linear_Algebra
|
| gptkbp:bfsLayer |
8
|