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vx(4)
vxge(4)
Neterion X3100 10GbE Server/Storage adapter driver
cgbsvx(l), CGBSVX(l)
uses the LU factorization to compute the solution to a complex system of linear equations A * X = B, A**T * X = B, or A**H * X = B,
cgbsvxx(l), CGBSVXX(l)
CGBSVXX use the LU factorization to compute the solution to a complex system of linear equations A * X = B, where A is an N-by-N matrix and X and B are N-by-NRHS matrices
cgeevx(l), CGEEVX(l)
computes for an N-by-N complex nonsymmetric matrix A, the eigenvalues and, optionally, the left and/or right eigenvectors
cgesvx(l), CGESVX(l)
uses the LU factorization to compute the solution to a complex system of linear equations A * X = B,
cgesvxx(l), CGESVXX(l)
CGESVXX use the LU factorization to compute the solution to a complex system of linear equations A * X = B, where A is an N-by-N matrix and X and B are N-by-NRHS matrices
cggevx(l), CGGEVX(l)
computes for a pair of N-by-N complex nonsymmetric matrices (A,B) the generalized eigenvalues, and optionally, the left and/or right generalized eigenvectors
cgtsvx(l), CGTSVX(l)
uses the LU factorization to compute the solution to a complex system of linear equations A * X = B, A**T * X = B, or A**H * X = B,
chbevx(l), CHBEVX(l)
computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian band matrix A
chbgvx(l), CHBGVX(l)
computes all the eigenvalues, and optionally, the eigenvectors of a complex generalized Hermitian-definite banded eigenproblem, of the form A*x=(lambda)*B*x
cheevx(l), CHEEVX(l)
computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix A
chegvx(l), CHEGVX(l)
computes selected eigenvalues, and optionally, eigenvectors of a complex generalized Hermitian-definite eigenproblem, of the form A*x=(lambda)*B*x, A*Bx=(lambda)*x, or B*A*x=(lambda)*x
chesvx(l), CHESVX(l)
uses the diagonal pivoting factorization to compute the solution to a complex system of linear equations A * X = B,
chesvxx(l), CHESVXX(l)
CHESVXX use the diagonal pivoting factorization to compute the solution to a complex system of linear equations A * X = B, where A is an N-by-N symmetric matrix and X and B are N-by-NRHS matrices
chpevx(l), CHPEVX(l)
computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix A in packed storage
chpgvx(l), CHPGVX(l)
computes selected eigenvalues and, optionally, eigenvectors of a complex generalized Hermitian-definite eigenproblem, of the form A*x=(lambda)*B*x, A*Bx=(lambda)*x, or B*A*x=(lambda)*x
chpsvx(l), CHPSVX(l)
uses the diagonal pivoting factorization A = U*D*U**H or A = L*D*L**H to compute the solution to a complex system of linear equations A * X = B, where A is an N-by-N Hermitian matrix stored in packed format and X and B are N-by-NRHS matrices
cpbsvx(l), CPBSVX(l)
uses the Cholesky factorization A = U**H*U or A = L*L**H to compute the solution to a complex system of linear equations A * X = B,
cposvx(l), CPOSVX(l)
uses the Cholesky factorization A = U**H*U or A = L*L**H to compute the solution to a complex system of linear equations A * X = B,
cposvxx(l), CPOSVXX(l)
CPOSVXX use the Cholesky factorization A = U**T*U or A = L*L**T to compute the solution to a complex system of linear equations A * X = B, where A is an N-by-N symmetric positive definite matrix and X and B are N-by-NRHS matrices
cppsvx(l), CPPSVX(l)
uses the Cholesky factorization A = U**H*U or A = L*L**H to compute the solution to a complex system of linear equations A * X = B,
cptsvx(l), CPTSVX(l)
uses the factorization A = L*D*L**H to compute the solution to a complex system of linear equations A*X = B, where A is an N-by-N Hermitian positive definite tridiagonal matrix and X and B are N-by-NRHS matrices
cspsvx(l), CSPSVX(l)
uses the diagonal pivoting factorization A = U*D*U**T or A = L*D*L**T to compute the solution to a complex system of linear equations A * X = B, where A is an N-by-N symmetric matrix stored in packed format and X and B are N-by-NRHS matrices
csysvx(l), CSYSVX(l)
uses the diagonal pivoting factorization to compute the solution to a complex system of linear equations A * X = B,
csysvxx(l), CSYSVXX(l)
CSYSVXX use the diagonal pivoting factorization to compute the solution to a complex system of linear equations A * X = B, where A is an N-by-N symmetric matrix and X and B are N-by-NRHS matrices
dgbsvx(l), DGBSVX(l)
uses the LU factorization to compute the solution to a real system of linear equations A * X = B, A**T * X = B, or A**H * X = B,
dgbsvxx(l), DGBSVXX(l)
DGBSVXX use the LU factorization to compute the solution to a double precision system of linear equations A * X = B, where A is an N-by-N matrix and X and B are N-by-NRHS matrices
dgeevx(l), DGEEVX(l)
computes for an N-by-N real nonsymmetric matrix A, the eigenvalues and, optionally, the left and/or right eigenvectors
dgesvx(l), DGESVX(l)
uses the LU factorization to compute the solution to a real system of linear equations A * X = B,
dgesvxx(l), DGESVXX(l)
DGESVXX use the LU factorization to compute the solution to a double precision system of linear equations A * X = B, where A is an N-by-N matrix and X and B are N-by-NRHS matrices
dggevx(l), DGGEVX(l)
computes for a pair of N-by-N real nonsymmetric matrices (A,B)
dgtsvx(l), DGTSVX(l)
uses the LU factorization to compute the solution to a real system of linear equations A * X = B or A**T * X = B,
dpbsvx(l), DPBSVX(l)
uses the Cholesky factorization A = U**T*U or A = L*L**T to compute the solution to a real system of linear equations A * X = B,
dposvx(l), DPOSVX(l)
uses the Cholesky factorization A = U**T*U or A = L*L**T to compute the solution to a real system of linear equations A * X = B,
dposvxx(l), DPOSVXX(l)
DPOSVXX use the Cholesky factorization A = U**T*U or A = L*L**T to compute the solution to a double precision system of linear equations A * X = B, where A is an N-by-N symmetric positive definite matrix and X and B are N-by-NRHS matrices
dppsvx(l), DPPSVX(l)
uses the Cholesky factorization A = U**T*U or A = L*L**T to compute the solution to a real system of linear equations A * X = B,
dptsvx(l), DPTSVX(l)
uses the factorization A = L*D*L**T to compute the solution to a real system of linear equations A*X = B, where A is an N-by-N symmetric positive definite tridiagonal matrix and X and B are N-by-NRHS matrices
dsbevx(l), DSBEVX(l)
computes selected eigenvalues and, optionally, eigenvectors of a real symmetric band matrix A
dsbgvx(l), DSBGVX(l)
computes selected eigenvalues, and optionally, eigenvectors of a real generalized symmetric-definite banded eigenproblem, of the form A*x=(lambda)*B*x
dspevx(l), DSPEVX(l)
computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix A in packed storage
dspgvx(l), DSPGVX(l)
computes selected eigenvalues, and optionally, eigenvectors of a real generalized symmetric-definite eigenproblem, of the form A*x=(lambda)*B*x, A*Bx=(lambda)*x, or B*A*x=(lambda)*x
dspsvx(l), DSPSVX(l)
uses the diagonal pivoting factorization A = U*D*U**T or A = L*D*L**T to compute the solution to a real system of linear equations A * X = B, where A is an N-by-N symmetric matrix stored in packed format and X and B are N-by-NRHS matrices
dstevx(l), DSTEVX(l)
computes selected eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix A
dsyevx(l), DSYEVX(l)
computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix A
dsygvx(l), DSYGVX(l)
computes selected eigenvalues, and optionally, eigenvectors of a real generalized symmetric-definite eigenproblem, of the form A*x=(lambda)*B*x, A*Bx=(lambda)*x, or B*A*x=(lambda)*x
dsysvx(l), DSYSVX(l)
uses the diagonal pivoting factorization to compute the solution to a real system of linear equations A * X = B,
dsysvxx(l), DSYSVXX(l)
DSYSVXX use the diagonal pivoting factorization to compute the solution to a double precision system of linear equations A * X = B, where A is an N-by-N symmetric matrix and X and B are N-by-NRHS matrices
pcgesvx(l), PCGESVX(l)
use the LU factorization to compute the solution to a complex system of linear equations A(IA:IA+N-1,JA:JA+N-1) * X = B(IB:IB+N-1,JB:JB+NRHS-1),
pcheevx(l), PCHEEVX(l)
compute selected eigenvalues and, optionally, eigenvectors of a complex hermitian matrix A by calling the recommended sequence of ScaLAPACK routines
pcposvx(l), PCPOSVX(l)
use the Cholesky factorization A = U**H*U or A = L*L**H to compute the solution to a complex system of linear equations A(IA:IA+N-1,JA:JA+N-1) * X = B(IB:IB+N-1,JB:JB+NRHS-1),
pdgesvx(l), PDGESVX(l)
use the LU factorization to compute the solution to a real system of linear equations A(IA:IA+N-1,JA:JA+N-1) * X = B(IB:IB+N-1,JB:JB+NRHS-1),
pdposvx(l), PDPOSVX(l)
use the Cholesky factorization A = U**T*U or A = L*L**T to compute the solution to a real system of linear equations A(IA:IA+N-1,JA:JA+N-1) * X = B(IB:IB+N-1,JB:JB+NRHS-1),
pdsyevx(l), PDSYEVX(l)
compute selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix A by calling the recommended sequence of ScaLAPACK routines
psgesvx(l), PSGESVX(l)
use the LU factorization to compute the solution to a real system of linear equations A(IA:IA+N-1,JA:JA+N-1) * X = B(IB:IB+N-1,JB:JB+NRHS-1),
psposvx(l), PSPOSVX(l)
use the Cholesky factorization A = U**T*U or A = L*L**T to compute the solution to a real system of linear equations A(IA:IA+N-1,JA:JA+N-1) * X = B(IB:IB+N-1,JB:JB+NRHS-1),
pssyevx(l), PSSYEVX(l)
compute selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix A by calling the recommended sequence of ScaLAPACK routines
pzgesvx(l), PZGESVX(l)
use the LU factorization to compute the solution to a complex system of linear equations A(IA:IA+N-1,JA:JA+N-1) * X = B(IB:IB+N-1,JB:JB+NRHS-1),
pzheevx(l), PZHEEVX(l)
compute selected eigenvalues and, optionally, eigenvectors of a complex hermitian matrix A by calling the recommended sequence of ScaLAPACK routines
pzposvx(l), PZPOSVX(l)
use the Cholesky factorization A = U**H*U or A = L*L**H to compute the solution to a complex system of linear equations A(IA:IA+N-1,JA:JA+N-1) * X = B(IB:IB+N-1,JB:JB+NRHS-1),
sgbsvx(l), SGBSVX(l)
uses the LU factorization to compute the solution to a real system of linear equations A * X = B, A**T * X = B, or A**H * X = B,
sgbsvxx(l), SGBSVXX(l)
SGBSVXX use the LU factorization to compute the solution to a real system of linear equations A * X = B, where A is an N-by-N matrix and X and B are N-by-NRHS matrices
sgeevx(l), SGEEVX(l)
computes for an N-by-N real nonsymmetric matrix A, the eigenvalues and, optionally, the left and/or right eigenvectors
sgesvx(l), SGESVX(l)
uses the LU factorization to compute the solution to a real system of linear equations A * X = B,
sgesvxx(l), SGESVXX(l)
SGESVXX use the LU factorization to compute the solution to a real system of linear equations A * X = B, where A is an N-by-N matrix and X and B are N-by-NRHS matrices
sggevx(l), SGGEVX(l)
computes for a pair of N-by-N real nonsymmetric matrices (A,B)
sgtsvx(l), SGTSVX(l)
uses the LU factorization to compute the solution to a real system of linear equations A * X = B or A**T * X = B,
spbsvx(l), SPBSVX(l)
uses the Cholesky factorization A = U**T*U or A = L*L**T to compute the solution to a real system of linear equations A * X = B,
sposvx(l), SPOSVX(l)
uses the Cholesky factorization A = U**T*U or A = L*L**T to compute the solution to a real system of linear equations A * X = B,
sposvxx(l), SPOSVXX(l)
SPOSVXX use the Cholesky factorization A = U**T*U or A = L*L**T to compute the solution to a real system of linear equations A * X = B, where A is an N-by-N symmetric positive definite matrix and X and B are N-by-NRHS matrices
sppsvx(l), SPPSVX(l)
uses the Cholesky factorization A = U**T*U or A = L*L**T to compute the solution to a real system of linear equations A * X = B,
sptsvx(l), SPTSVX(l)
uses the factorization A = L*D*L**T to compute the solution to a real system of linear equations A*X = B, where A is an N-by-N symmetric positive definite tridiagonal matrix and X and B are N-by-NRHS matrices
ssbevx(l), SSBEVX(l)
computes selected eigenvalues and, optionally, eigenvectors of a real symmetric band matrix A
ssbgvx(l), SSBGVX(l)
computes selected eigenvalues, and optionally, eigenvectors of a real generalized symmetric-definite banded eigenproblem, of the form A*x=(lambda)*B*x
sspevx(l), SSPEVX(l)
computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix A in packed storage
sspgvx(l), SSPGVX(l)
computes selected eigenvalues, and optionally, eigenvectors of a real generalized symmetric-definite eigenproblem, of the form A*x=(lambda)*B*x, A*Bx=(lambda)*x, or B*A*x=(lambda)*x
sspsvx(l), SSPSVX(l)
uses the diagonal pivoting factorization A = U*D*U**T or A = L*D*L**T to compute the solution to a real system of linear equations A * X = B, where A is an N-by-N symmetric matrix stored in packed format and X and B are N-by-NRHS matrices
sstevx(l), SSTEVX(l)
computes selected eigenvalues and, optionally, eigenvectors of a real symmetric tridiagonal matrix A
ssyevx(l), SSYEVX(l)
computes selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix A
ssygvx(l), SSYGVX(l)
computes selected eigenvalues, and optionally, eigenvectors of a real generalized symmetric-definite eigenproblem, of the form A*x=(lambda)*B*x, A*Bx=(lambda)*x, or B*A*x=(lambda)*x
ssysvx(l), SSYSVX(l)
uses the diagonal pivoting factorization to compute the solution to a real system of linear equations A * X = B,
ssysvxx(l), SSYSVXX(l)
SSYSVXX use the diagonal pivoting factorization to compute the solution to a real system of linear equations A * X = B, where A is an N-by-N symmetric matrix and X and B are N-by-NRHS matrices
vximtool(1)
-- A virtual display server for IRAF IIS protocol clients
vxmount(1)
Mount a VxFS filesystem
vxmount(1)
Unmount a VxFS filesystem
zgbsvx(l), ZGBSVX(l)
uses the LU factorization to compute the solution to a complex system of linear equations A * X = B, A**T * X = B, or A**H * X = B,
zgbsvxx(l), ZGBSVXX(l)
ZGBSVXX use the LU factorization to compute the solution to a complex*16 system of linear equations A * X = B, where A is an N-by-N matrix and X and B are N-by-NRHS matrices
zgeevx(l), ZGEEVX(l)
computes for an N-by-N complex nonsymmetric matrix A, the eigenvalues and, optionally, the left and/or right eigenvectors
zgesvx(l), ZGESVX(l)
uses the LU factorization to compute the solution to a complex system of linear equations A * X = B,
zgesvxx(l), ZGESVXX(l)
ZGESVXX use the LU factorization to compute the solution to a complex*16 system of linear equations A * X = B, where A is an N-by-N matrix and X and B are N-by-NRHS matrices
zggevx(l), ZGGEVX(l)
computes for a pair of N-by-N complex nonsymmetric matrices (A,B) the generalized eigenvalues, and optionally, the left and/or right generalized eigenvectors
zgtsvx(l), ZGTSVX(l)
uses the LU factorization to compute the solution to a complex system of linear equations A * X = B, A**T * X = B, or A**H * X = B,
zhbevx(l), ZHBEVX(l)
computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian band matrix A
zhbgvx(l), ZHBGVX(l)
computes all the eigenvalues, and optionally, the eigenvectors of a complex generalized Hermitian-definite banded eigenproblem, of the form A*x=(lambda)*B*x
zheevx(l), ZHEEVX(l)
computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix A
zhegvx(l), ZHEGVX(l)
computes selected eigenvalues, and optionally, eigenvectors of a complex generalized Hermitian-definite eigenproblem, of the form A*x=(lambda)*B*x, A*Bx=(lambda)*x, or B*A*x=(lambda)*x
zhesvx(l), ZHESVX(l)
uses the diagonal pivoting factorization to compute the solution to a complex system of linear equations A * X = B,
zhesvxx(l), ZHESVXX(l)
ZHESVXX use the diagonal pivoting factorization to compute the solution to a complex*16 system of linear equations A * X = B, where A is an N-by-N symmetric matrix and X and B are N-by-NRHS matrices
zhpevx(l), ZHPEVX(l)
computes selected eigenvalues and, optionally, eigenvectors of a complex Hermitian matrix A in packed storage
zhpgvx(l), ZHPGVX(l)
computes selected eigenvalues and, optionally, eigenvectors of a complex generalized Hermitian-definite eigenproblem, of the form A*x=(lambda)*B*x, A*Bx=(lambda)*x, or B*A*x=(lambda)*x
zhpsvx(l), ZHPSVX(l)
uses the diagonal pivoting factorization A = U*D*U**H or A = L*D*L**H to compute the solution to a complex system of linear equations A * X = B, where A is an N-by-N Hermitian matrix stored in packed format and X and B are N-by-NRHS matrices
zpbsvx(l), ZPBSVX(l)
uses the Cholesky factorization A = U**H*U or A = L*L**H to compute the solution to a complex system of linear equations A * X = B,
zposvx(l), ZPOSVX(l)
uses the Cholesky factorization A = U**H*U or A = L*L**H to compute the solution to a complex system of linear equations A * X = B,
zposvxx(l), ZPOSVXX(l)
ZPOSVXX use the Cholesky factorization A = U**T*U or A = L*L**T to compute the solution to a complex*16 system of linear equations A * X = B, where A is an N-by-N symmetric positive definite matrix and X and B are N-by-NRHS matrices
zppsvx(l), ZPPSVX(l)
uses the Cholesky factorization A = U**H*U or A = L*L**H to compute the solution to a complex system of linear equations A * X = B,
zptsvx(l), ZPTSVX(l)
uses the factorization A = L*D*L**H to compute the solution to a complex system of linear equations A*X = B, where A is an N-by-N Hermitian positive definite tridiagonal matrix and X and B are N-by-NRHS matrices
zspsvx(l), ZSPSVX(l)
uses the diagonal pivoting factorization A = U*D*U**T or A = L*D*L**T to compute the solution to a complex system of linear equations A * X = B, where A is an N-by-N symmetric matrix stored in packed format and X and B are N-by-NRHS matrices
zsysvx(l), ZSYSVX(l)
uses the diagonal pivoting factorization to compute the solution to a complex system of linear equations A * X = B,
zsysvxx(l), ZSYSVXX(l)
ZSYSVXX use the diagonal pivoting factorization to compute the solution to a complex*16 system of linear equations A * X = B, where A is an N-by-N symmetric matrix and X and B are N-by-NRHS matrices
erl_set_memory_block(3)
Custom memory allocation for Erlang on VxWorks(R)
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