An extended set of FORTRAN basic linear algebra subprograms
ACM Transactions on Mathematical Software (TOMS)
Implementation of the GMRES method using householder transformations
SIAM Journal on Scientific and Statistical Computing - Telecommunication Programs at U.S. Universities
The algebraic eigenvalue problem
The algebraic eigenvalue problem
A storage-efficient WY representation for products of householder transformations
SIAM Journal on Scientific and Statistical Computing
A set of level 3 basic linear algebra subprograms
ACM Transactions on Mathematical Software (TOMS)
Modification of the householder method based on the compact WY representation
SIAM Journal on Scientific and Statistical Computing
Matrix computations (3rd ed.)
Unitary Triangularization of a Nonsymmetric Matrix
Journal of the ACM (JACM)
LAPACK Users' guide (third ed.)
LAPACK Users' guide (third ed.)
Solution of the matrix equation AX + XB = C [F4]
Communications of the ACM
The science of deriving dense linear algebra algorithms
ACM Transactions on Mathematical Software (TOMS)
Representing linear algebra algorithms in code: the FLAME application program interfaces
ACM Transactions on Mathematical Software (TOMS)
Accumulating Householder transformations, revisited
ACM Transactions on Mathematical Software (TOMS)
Block variants of Hammarling's method for solving Lyapunov equations
ACM Transactions on Mathematical Software (TOMS)
Families of Algorithms for Reducing a Matrix to Condensed Form
ACM Transactions on Mathematical Software (TOMS)
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In this article, a modification of the blocked algorithm for reduction to Hessenberg form is presented that improves performance by shifting more computation from less efficient matrix-vector operations to highly efficient matrix-matrix operations. Significant performance improvements are reported relative to the performance achieved by the current LAPACK implementation.