|
gptkbp:instanceOf
|
gptkb:academic
|
|
gptkbp:address
|
stability
efficiency
accuracy
complexity
conditioning
|
|
gptkbp:application
|
gptkb:machine_learning
data science
engineering
scientific computing
|
|
gptkbp:fieldOfStudy
|
gptkb:mathematics
|
|
gptkbp:focusesOn
|
matrix computations
linear systems
singular value decomposition
numerical algorithms
eigenvalue problems
|
|
gptkbp:hasSubfield
|
iterative methods
direct methods
sparse linear algebra
matrix factorizations
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Numerical Linear Algebra
|
|
gptkbp:notableBook
|
gptkb:Matrix_Computations
gptkb:Numerical_Linear_Algebra_(Golub_&_Van_Loan)
|
|
gptkbp:notableContributor
|
gptkb:Gene_H._Golub
gptkb:Charles_F._Van_Loan
|
|
gptkbp:relatedTo
|
numerical analysis
linear algebra
|
|
gptkbp:software
|
gptkb:Eigen
gptkb:Armadillo
gptkb:MATLAB
gptkb:NumPy
gptkb:SciPy
gptkb:Octave
gptkb:BLAS
gptkb:LAPACK
gptkb:ScaLAPACK
|
|
gptkbp:supportsAlgorithm
|
gptkb:Lanczos_algorithm
gptkb:Arnoldi_iteration
gptkb:Householder_transformation
gptkb:Schur_decomposition
gptkb:Gauss-Seidel_method
gptkb:Givens_rotation
gptkb:Singular_value_decomposition
Jacobi method
Cholesky decomposition
LU decomposition
QR decomposition
Conjugate gradient method
Power iteration
|
|
gptkbp:uses
|
high-performance computing
computers
parallel computing
floating point arithmetic
sparse matrices
dense matrices
|
|
gptkbp:bfsParent
|
gptkb:Lloyd_M._Trefethen
gptkb:Lloyd_N._Trefethen
gptkb:Loren_Trefethen
gptkb:Gene_H._Golub
|
|
gptkbp:bfsLayer
|
7
|