- psgeqr2
-
compute a QR factorization of a real distributed M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = Q * R
- psgeqrf
-
compute a QR factorization of a real distributed M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = Q * R
- psgerfs
-
improve the computed solution to a system of linear equations and provides error bounds and backward error estimates for the solutions
- psgerq2
-
compute a RQ factorization of a real distributed M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = R * Q
- psgerqf
-
compute a RQ factorization of a real distributed M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = R * Q
- psgesv
-
compute the solution to a real system of linear equations sub( A ) * X = sub( B ),
- psgesvd
-
compute the singular value decomposition (SVD) of an M-by-N matrix A, optionally computing the left and/or right singular vectors
- psgesvx
-
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),
- psgetf2
-
compute an LU factorization of a general M-by-N distributed matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) using partial pivoting with row interchanges
- psgetrf
-
compute an LU factorization of a general M-by-N distributed matrix sub( A ) = (IA:IA+M-1,JA:JA+N-1) using partial pivoting with row interchanges
- psgetri
-
compute the inverse of a distributed matrix using the LU factorization computed by PSGETRF
- psgetrs
-
solve a system of distributed linear equations op( sub( A ) ) * X = sub( B ) with a general N-by-N distributed matrix sub( A ) using the LU factorization computed by PSGETRF
- psggqrf
-
compute a generalized QR factorization of an N-by-M matrix sub( A ) = A(IA:IA+N-1,JA:JA+M-1) and an N-by-P matrix sub( B ) = B(IB:IB+N-1,JB:JB+P-1)
- psggrqf
-
compute a generalized RQ factorization of an M-by-N matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1)
- Psh::Completion
-
containing the completion routines of psh.
Currently works with Term::ReadLine::Gnu and Term::ReadLine::Perl.
- Psh::Joblist
-
A data structure suitable for handling job lists like bash's
- Psh::Locale
-
containing base code for I18N
- Psh::Locale::Default
-
containing translations for default locale
- Psh::OS
-
Wrapper class for OS dependant stuff
- Psh::OS::Win
-
Contains Windows specific code
- Psh::Parser
-
Perl Shell Parser
- Psh::PerlEval
-
package containing perl evaluation codes
- Psh::Strategy
-
a Perl Shell Evaluation Strategy (base class)
- Psh::Strategy::Bang
-
Evaluation strategies
If the input line starts with ! all remaining input will be
sent unchanged to /bin/sh
- Psh::StrategyBunch
-
Evaluation strategies
If the input line starts with ! all remaining input will be
sent unchanged to /bin/sh
If the input line starts with p! all remaining input will be
sent unchanged to the perl interpreter
Input within curly braces will be sent unchanged to the perl
interpreter.
Tries to detect perl builtins - this is helpful if you e.g. have
a print command on your system. This is a small, minimal version
without options which will react on your own sub's or on a limited
list of important perl builtins. Please also see the strategy
perlfunc_heavy
This strategy will search for an executable file and execute it
if possible.
All input will be evaluated by the perl interpreter without
any conditions.
- psignal
-
Afficher le libellé d'un signal.
- pslabad
-
take as input the values computed by PSLAMCH for underflow and overflow, and returns the square root of each of these values if the log of LARGE is sufficiently large
- pslabrd
-
reduce the first NB rows and columns of a real general M-by-N distributed matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) to upper or lower bidiagonal form by an orthogonal transformation Q' * A * P,
- pslacon
-
estimate the 1-norm of a square, real distributed matrix A
- pslaconsb
-
look for two consecutive small subdiagonal elements by seeing the effect of starting a double shift QR iteration given by H44, H33, & H43H34 and see if this would make a subdiagonal negligible
- pslacp2
-
copie all or part of a distributed matrix A to another distributed matrix B
- pslacp3
-
i an auxiliary routine that copies from a global parallel array into a local replicated array or vise versa
- pslacpy
-
copie all or part of a distributed matrix A to another distributed matrix B
- pslaevswp
-
move the eigenvectors (potentially unsorted) from where they are computed, to a ScaLAPACK standard block cyclic array, sorted so that the corresponding eigenvalues are sorted
- pslahqr
-
i an auxiliary routine used to find the Schur decomposition and or eigenvalues of a matrix already in Hessenberg form from cols ILO to IHI
- pslahrd
-
reduce the first NB columns of a real general N-by-(N-K+1) distributed matrix A(IA:IA+N-1,JA:JA+N-K) so that elements below the k-th subdiagonal are zero
- pslamch
-
determine single precision machine parameters
- pslange
-
return the value of the one norm, or the Frobenius norm,
- pslanhs
-
return the value of the one norm, or the Frobenius norm,
- pslansy
-
return the value of the one norm, or the Frobenius norm,
- pslantr
-
return the value of the one norm, or the Frobenius norm,
- pslapiv
-
applie either P (permutation matrix indicated by IPIV) or inv( P ) to a general M-by-N distributed matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1), resulting in row or column pivoting
- pslapv2
-
applie either P (permutation matrix indicated by IPIV) or inv( P ) to a M-by-N distributed matrix sub( A ) denoting A(IA:IA+M-1,JA:JA+N-1), resulting in row or column pivoting
- pslaqge
-
equilibrate a general M-by-N distributed matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) using the row and scaling factors in the vectors R and C
- pslaqsy
-
equilibrate a symmetric distributed matrix sub( A ) = A(IA:IA+N-1,JA:JA+N-1) using the scaling factors in the vectors SR and SC
- pslared1d
-
redistribute a 1D array It assumes that the input array, BYCOL, is distributed across rows and that all process column contain the same copy of BYCOL
- pslared2d
-
redistribute a 1D array It assumes that the input array, BYROW, is distributed across columns and that all process rows contain the same copy of BYROW
- pslarf
-
applie a real elementary reflector Q (or Q**T) to a real M-by-N distributed matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1), from either the left or the right
- pslarfb
-
applie a real block reflector Q or its transpose Q**T to a real distributed M-by-N matrix sub( C ) = C(IC:IC+M-1,JC:JC+N-1)
- pslarfg
-
generate a real elementary reflector H of order n, such that H * sub( X ) = H * ( x(iax,jax) ) = ( alpha ), H' * H = I