08-03-2007
Yes I have seen The Matrix. Why do you like The Matrix?
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hi ,
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Hello,
Pls change my login name to Awadhesh instead of awadhesh if possible. it will be more better if it become Awadhesh Pandey.
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LEARN ABOUT DEBIAN
mixed_solver
mixed_solver(4rheolef) rheolef-6.1 mixed_solver(4rheolef)
NAME
pcg_abtb, pcg_abtbc, pminres_abtb, pminres_abtbc -- solvers for mixed linear problems
SYNOPSIS
template <class Matrix, class Vector, class Solver, class Preconditioner, class Size, class Real>
int pcg_abtb (const Matrix& A, const Matrix& B, Vector& u, Vector& p,
const Vector& Mf, const Vector& Mg, const Preconditioner& S1,
const Solver& inner_solver_A, Size& max_iter, Real& tol,
odiststream *p_derr = 0, std::string label = "pcg_abtb");
template <class Matrix, class Vector, class Solver, class Preconditioner, class Size, class Real>
int pcg_abtbc (const Matrix& A, const Matrix& B, const Matrix& C, Vector& u, Vector& p,
const Vector& Mf, const Vector& Mg, const Preconditioner& S1,
const Solver& inner_solver_A, Size& max_iter, Real& tol,
odiststream *p_derr = 0, std::string label = "pcg_abtbc");
The synopsis is the same with the pminres algorithm.
EXAMPLES
See the user's manual for practical examples for the nearly incompressible elasticity, the Stokes and the Navier-Stokes problems.
DESCRIPTION
Preconditioned conjugate gradient algorithm on the pressure p applied to the stabilized stokes problem:
[ A B^T ] [ u ] [ Mf ]
[ ] [ ] = [ ]
[ B -C ] [ p ] [ Mg ]
where A is symmetric positive definite and C is symmetric positive and semi-definite. Such mixed linear problems appears for instance with
the discretization of Stokes problems with stabilized P1-P1 element, or with nearly incompressible elasticity. Formaly u = inv(A)*(Mf -
B^T*p) and the reduced system writes for all non-singular matrix S1:
inv(S1)*(B*inv(A)*B^T)*p = inv(S1)*(B*inv(A)*Mf - Mg)
Uzawa or conjugate gradient algorithms are considered on the reduced problem. Here, S1 is some preconditioner for the Schur complement
S=B*inv(A)*B^T. Both direct or iterative solvers for S1*q = t are supported. Application of inv(A) is performed via a call to a solver
for systems such as A*v = b. This last system may be solved either by direct or iterative algorithms, thus, a general matrix solver class
is submitted to the algorithm. For most applications, such as the Stokes problem, the mass matrix for the p variable is a good S1 precon-
ditioner for the Schur complement. The stoping criteria is expressed using the S1 matrix, i.e. in L2 norm when this choice is considered.
It is scaled by the L2 norm of the right-hand side of the reduced system, also in S1 norm.
rheolef-6.1 rheolef-6.1 mixed_solver(4rheolef)