- Matrix types in the LAPACK naming scheme
- Driver routines for linear equations
- Driver routines for linear least squares problems
- Driver routines for generalized linear least squares problems
- Driver routines for standard eigenvalue and singular value problems
- Driver routines for generalized eigenvalue and singular value problems
- Computational routines for linear equations
- Computational routines for linear equations (continued)
- Computational routines for orthogonal factorizations
- Computational routines for the symmetric eigenproblem
- Computational routines for the nonsymmetric eigenproblem
- Computational routines for the singular value decomposition
- Reduction of generalized symmetric definite eigenproblems to standard problems
- Computational routines for the generalized symmetric definite eigenproblem
- Computational routines for the generalized nonsymmetric eigenproblem
- Computational routines for the generalized singular value decomposition
- Speed in megaflops of Level 2 and Level 3 BLAS operations on a CRAY C90
- Clock Speeds of Computers in Timing Results
- Speed in megaflops of SGETRF/DGETRF for square matrices of order
`n` - Speed in megaflops of SPOTRF/DPOTRF for matrices of order
`n`with UPLO = `U' - Speed in megaflops of DSYTRF for matrices of order
`n`with UPLO = `U' on an IBM POWER2 model 590 - Speed in megaflops of SGEQRF/DGEQRF for square matrices of order
`n` - Speed in megaflops of reductions to condensed forms on an IBM POWER2 model 590
- Execution time and Megaflop rates for SGEMV/DGEMV and SGEMM/DGEMM
- ``Standard'' floating point operation counts for LAPACK drivers
for
`n`-by-`n`matrices - Performance of SGESV/DGESV for
`n`-by-`n`matrices - Performance of SGELS/DGELS for
`n`-by-`n`matrices - Performance of SGEEV/DGEEV, eigenvalues only
- Performance of SGEEV/DGEEV, eigenvalues and right eigenvectors
- Performance of SSYEVD/DSYEVD, eigenvalues only, UPLO='U'
- Performance of SSYEVD/DSYEVD, eigenvalues and eigenvectors, UPLO='U'
- Performance of SGESVD/DGESVD, singular values only
- Performance of SGESVD/DGESVD, singular values and left and right singular vectors
- Values of Machine Parameters in IEEE Floating Point Arithmetic
- Vector and matrix norms
- Bounding One Vector Norm in Terms of Another
- Bounding One Matrix Norm in Terms of Another
- Asymptotic error bounds for the nonsymmetric eigenproblem
- Global error bounds for the nonsymmetric eigenproblem assuming
- Use of the block parameters NB, NBMIN, and NX in LAPACK

Tue Nov 29 14:03:33 EST 1994