A seamless interface to perform parallel computation on linear algebra problems using the ScaLAPACK library.

[Package List] [Top]

Documentation for package ‘RScaLAPACK’ version 0.5.1

Help Pages

sla.chol Choleski Factorization of a real, symmetric, positive-definite, square-matrix using ScaLAPACK
sla.chol2inv Invert a Matrix from the Cholesky Decomposition (Using ScaLAPACK)
sla.eigen Spectral (Eigen) Decomposition of a Matrix
sla.factanal Factor Analysis
sla.factanal.fit.mle Factor Analysis
sla.gridExit Releases the Process Grid for ScaLAPACK Computations
sla.gridInit Initialize the Process Grid for ScaLAPACK Computations
sla.multiply Matrix Multiplication using Scalapack function
sla.prcomp Principal Components Analysis (Using ScaLAPACK)
sla.princomp Principal Components Analysis (Using ScaLAPACK)
sla.promax Rotation Methods for Factor Analysis
sla.qr The QR Decomposition of a Matrix (Using ScaLAPACK)
sla.solve Solve a System of Equations using Scalapack functions
sla.svd Singular Value Decomposition of a Matrix
sla.varimax Rotation Methods for Factor Analysis