Gmm++ Library

• Introduction
• Installation
• Matrix and Vector type provided by Gmm++
  • dense vectors
  • sparse vectors
  • skyline vectors
  • generic row and column matrices
  • dense matrices
  • sparse matrices
• Input and output with Harwell-Boeing and Matrix Market formats
• sub-vectors and sub-matrices
  • row and column of a matrix
• Miscellaneous methods
• Basic linear algebra operations
  • scale and scaled
  • transposition
  • imaginary and real part
  • conjugate
  • add
  • mult
  • norms
  • trace
  • scalar product
• Solving triangular systems
• Dense LU decomposition
• Dense QR factorisation, eigenvalues and eigenvectors
• Iterative solvers
  • iterations
  • Linear solvers
  • Preconditioners
  • Additive Schwarz method
  • Range basis function
• Catch errors
• Interface with BLAS, LAPACK or ATLAS
• Interface with SuperLU
• How to use Gmm++ with QD type (double-double and quad-double)
• First steps with Gmm++
  • How can I invert a matrix ?
  • How can I solve a linear system ?
  • How can I transform a vector into a matrix and reshape it ?
  • What is the better way to resize a matrix ?
• Deeper inside Gmm++
  • The linalg_traits structure
  • How to iterate on the components of a vector
  • How to iterate on a matrix
  • How to make your algorithm working on all type of matrices
• How to disable verifications