- 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 an SGI Origin 2000
- Characteristics of the Compaq/Digital computers timed
- Characteristics of the IBM computers timed
- Characteristics of the Intel computers timed
- Characteristics of the SGI computer timed
- Characteristics of the Sun computers timed
- Speed in megaflops of DGETRF for square matrices of order
*n* - Speed in megaflops of DPOTRF for matrices of order
with UPLO = `U'*n* - Speed in megaflops of DSYTRF for matrices of order
with UPLO = `U' on an IBM Power 3*n* - Speed in megaflops of DGEQRF for square matrices of order
*n* - Speed in megaflops of reductions to condensed forms on an IBM Power 3
- Execution time and Megaflop rates for DGEMV and DGEMM
- ``Standard'' floating point operation counts for LAPACK drivers
for
-by-*n*matrices*n* - Performance of DGESV for
-by-*n*matrices*n* - Performance of DGEEV, eigenvalues only
- Performance of DGEEV, eigenvalues and right eigenvectors
- Performance of DGESDD, singular values only
- Performance of DGESVD, singular values and left and right singular vectors
- Performance of DGESDD, 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
- Asymptotic error bounds for the generalized nonsymmetric eigenvalue problem
- Global error bounds for the generalized nonsymmetric eigenvalue problem assuming .
- Use of the block parameters NB, NBMIN, and NX in LAPACK