# Pages du manuel Linux : Fonctions des bibliothèques

Spoon::DataObject
Spoon Data Object Base Class
Spoon::Formatter
Spoon Formatter Base Class
Spoon::Hooks
Spoon Method Hooking Facility
Spoon::Hub
Spoon Hub Base Class
Spoon::Installer
Spoon Installer Class
Spoon Metadata Object Base Class
Spoon::Plugin
Spoon Plugin Base Class
Spoon::Registry
Spoon Registry Base Class
Spoon::Template
Spoon Template Base Class
Spoon::Template::TT2
Spoon Template Toolkit Base Class
Spoon::Utils
Spoon Utilities Class
sporfs
improve the computed solution to a system of linear equations when the coefficient matrix is symmetric positive definite,
Spork
Slide Presentations (Only Really Kwiki)
Spork::Config
Spork Configuration Class
sposv
compute the solution to a real system of linear equations A * X = B,
sposvx
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,
spotf2
compute the Cholesky factorization of a real symmetric positive definite matrix A
spotrf
compute the Cholesky factorization of a real symmetric positive definite matrix A
spotri
compute the inverse of a real symmetric positive definite matrix A using the Cholesky factorization A = U**T*U or A = L*L**T computed by SPOTRF
spotrs
solve a system of linear equations A*X = B with a symmetric positive definite matrix A using the Cholesky factorization A = U**T*U or A = L*L**T computed by SPOTRF
sppcon
estimate the reciprocal of the condition number (in the 1-norm) of a real symmetric positive definite packed matrix using the Cholesky factorization A = U**T*U or A = L*L**T computed by SPPTRF
sppequ
compute row and column scalings intended to equilibrate a symmetric positive definite matrix A in packed storage and reduce its condition number (with respect to the two-norm)
spprfs
improve the computed solution to a system of linear equations when the coefficient matrix is symmetric positive definite and packed, and provides error bounds and backward error estimates for the solution
sppsv
compute the solution to a real system of linear equations A * X = B,
sppsvx
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,
spptrf
compute the Cholesky factorization of a real symmetric positive definite matrix A stored in packed format
spptri
compute the inverse of a real symmetric positive definite matrix A using the Cholesky factorization A = U**T*U or A = L*L**T computed by SPPTRF
spptrs
solve a system of linear equations A*X = B with a symmetric positive definite matrix A in packed storage using the Cholesky factorization A = U**T*U or A = L*L**T computed by SPPTRF
Perl extension for the Spread group communication system
OO wrapper for Spread messaging toolkit
Get information from Excel file
A simple interface to Excel data
Utility function for Spreadsheet::ParseExcel
Write to a cross-platform Excel binary file.
An abstract base class for Excel workbooks and worksheets.
A class for creating Excel files > 7MB.
A writer class for Excel Charts.
A class for defining Excel formatting.
A class for generating Excel formulas
A writer class to store BIFF data in a OLE compound storage file.
Helper functions for Spreadsheet::WriteExcel.
A writer class for Excel Workbooks.
A writer class for Excel Workbooks > 7MB.
A writer class for Excel Worksheets.
sprintf
See printf.3posix
sprite
sprite.c
sptcon
compute the reciprocal of the condition number (in the 1-norm) of a real symmetric positive definite tridiagonal matrix using the factorization A = L*D*L**T or A = U**T*D*U computed by SPTTRF
spteqr
compute all eigenvalues and, optionally, eigenvectors of a symmetric positive definite tridiagonal matrix by first factoring the matrix using SPTTRF, and then calling SBDSQR to compute the singular values of the bidiagonal factor