cg_rc


cg_rc, a FORTRAN77 code which implements the conjugate gradient method for solving a symmetric positive definite (SPD) sparse linear system A*x=b, using reverse communication (RC).

Licensing:

The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.

Languages:

cg_rc is available in a C version and a C++ version and a Fortran90 version and a MATLAB version and an Octave version and a Python version.

Related Data and Programs:

cg_rc_test

backtrack_binary_rc, a FORTRAN77 library which carries out a backtrack search for a set of binary decisions, using reverse communication.

bisection_rc, a FORTRAN77 library which seeks a solution to the equation F(X)=0 using bisection within a user-supplied change of sign interval [A,B]. The procedure is written using reverse communication (RC).

CG, a FORTRAN77 library which implements a simple version of the conjugate gradient (CG) method for solving a system of linear equations of the form A*x=b, suitable for situations in which the matrix A is positive definite (only real, positive eigenvalues) and symmetric.

CG_PLUS, a FORTRAN77 library which implements the conjugate gradient method for minimizing a scalar function of multiple variables.

CG_SERIAL, a FORTRAN77 program which a serial version of the Conjugate Gradient (CG) NAS Parallel Benchmark .

MGMRES, a FORTRAN77 library which applies the restarted GMRES algorithm to solve a sparse linear system.

SORT_RC, a FORTRAN77library which can sort a list of any kind of objects, using reverse communication (RC).

TEMPLATED, a FORTRAN77 library which carries out simple versions of various iterative solvers. This is the double precision version.

ZERO_RC, a FORTRAN77 library which seeks solutions of a scalar nonlinear equation f(x) = 0, or a system of nonlinear equations, using reverse communication (RC).

Reference:

  1. Richard Barrett, Michael Berry, Tony Chan, James Demmel, June Donato, Jack Dongarra, Victor Eijkhout, Roidan Pozo, Charles Romine, Henk van der Vorst,
    Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods,
    SIAM, 1994,
    ISBN: 0898714710,
    LC: QA297.8.T45.
  2. Jonathan Shewchuk,
    An introduction to the conjugate gradient method without the agonizing pain, Edition 1.25, August 1994.

Source Code:

Examples and Tests:


Last revised on 22 September 2023.