# Pages du manuel Linux : Fonctions des bibliothèques

pspoequ
compute row and column scalings intended to equilibrate a distributed symmetric positive definite matrix sub( A ) = A(IA:IA+N-1,JA:JA+N-1) and reduce its condition number (with respect to the two-norm)
psporfs
improve the computed solution to a system of linear equations when the coefficient matrix is symmetric positive definite and provides error bounds and backward error estimates for the solutions
psposv
compute the solution to a real system of linear equations sub( A ) * X = sub( B ),
psposvx
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),
pspotf2
compute the Cholesky factorization of a real symmetric positive definite distributed matrix sub( A )=A(IA:IA+N-1,JA:JA+N-1)
pspotrf
compute the Cholesky factorization of an N-by-N real symmetric positive definite distributed matrix sub( A ) denoting A(IA:IA+N-1, JA:JA+N-1)
pspotri
compute the inverse of a real symmetric positive definite distributed matrix sub( A ) = A(IA:IA+N-1,JA:JA+N-1) using the Cholesky factorization sub( A ) = U**T*U or L*L**T computed by PSPOTRF
pspotrs
solve a system of linear equations sub( A ) * X = sub( B ) A(IA:IA+N-1,JA:JA+N-1)*X = B(IB:IB+N-1,JB:JB+NRHS-1)
psptsv
solve a system of linear equations A(1:N, JA:JA+N-1) * X = B(IB:IB+N-1, 1:NRHS)
pspttrf
compute a Cholesky factorization of an N-by-N real tridiagonal symmetric positive definite distributed matrix A(1:N, JA:JA+N-1)
pspttrs
solve a system of linear equations A(1:N, JA:JA+N-1) * X = B(IB:IB+N-1, 1:NRHS)
pspttrsv
solve a tridiagonal triangular system of linear equations A(1:N, JA:JA+N-1) * X = B(IB:IB+N-1, 1:NRHS)
psrscl
multiplie an N-element real distributed vector sub( X ) by the real scalar 1/a
psstebz
compute the eigenvalues of a symmetric tridiagonal matrix in parallel
psstein
compute the eigenvectors of a symmetric tridiagonal matrix in parallel, using inverse iteration
pssyev
compute all eigenvalues and, optionally, eigenvectors of a real symmetric matrix A by calling the recommended sequence of ScaLAPACK routines
pssyevx
compute selected eigenvalues and, optionally, eigenvectors of a real symmetric matrix A by calling the recommended sequence of ScaLAPACK routines
pssygs2
reduce a real symmetric-definite generalized eigenproblem to standard form
pssygst
reduce a real symmetric-definite generalized eigenproblem to standard form
pssygvx
compute all the eigenvalues, and optionally, the eigenvectors of a real generalized SY-definite eigenproblem
pssytd2
reduce a real symmetric matrix sub( A ) to symmetric tridiagonal form T by an orthogonal similarity transformation
pssytrd
reduce a real symmetric matrix sub( A ) to symmetric tridiagonal form T by an orthogonal similarity transformation
pstrcon
estimate the reciprocal of the condition number of a triangular distributed matrix A(IA:IA+N-1,JA:JA+N-1), in either the 1-norm or the infinity-norm
pstream.h
Declares all PStreams classes.
pstreams_deprecated
Deprecated List Member redi::basic_pstreambuf::fd_t use pstreams::fd_type instead.
pstrrfs
provide error bounds and backward error estimates for the solution to a system of linear equations with a triangular coefficient matrix
pstrti2
compute the inverse of a real upper or lower triangular block matrix sub( A ) = A(IA:IA+N-1,JA:JA+N-1)
pstrtri
compute the inverse of a upper or lower triangular distributed matrix sub( A ) = A(IA:IA+N-1,JA:JA+N-1)
pstrtrs
solve a triangular system of the form sub( A ) * X = sub( B ) or sub( A )**T * X = sub( B ),
pstzrzf
reduce the M-by-N ( M<=N ) real upper trapezoidal matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) to upper triangular form by means of orthogonal transformations
PS_arc
Draws an arc counterclockwise
PS_arcn
Draws an arc clockwise
PS_begin_page
Start a new page
PS_begin_pattern
Starts a new pattern
PS_begin_template
Starts a new template
PS_boot
Initialize library
PS_circle
Draws a circle
PS_clip
Clips drawing to current path
PS_close
Closes a PostScript document
PS_closepath
Closes path
PS_closepath_stroke
Closes and strokes path
PS_close_image
Closes image and frees memory
PS_continue_text
Continue text in next line
PS_continue_text2
Continue text in next line