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Linear preconditioner matrix

The matrix A is known as the preconditioner and has to be chosen such that the condition number of the transformed linear system is smaller than that of the original system. [Pg.167]

In cases where iterative methods are employed to solve large, sparse linear systems, both the efficiency and robustness of these methods can be significantly improved by use of preconditioners. A preconditioner of a matrix A is a matrix such that has a smaller condition number than A. The... [Pg.1096]

This version solves a linear system or the equivalent minimization of a quadratic function using the PCG method where the preconditioner is the band matrix with the band dimension provided by the integer in the argument. [Pg.169]

Solve the previous linear system by using the Solve function and the band matrix with bandwidth 1 as the preconditioner. [Pg.170]

This result is the motivation behind the use of a preconditioner, a transformation of the linear system into a related one whose condition number is closer to 1. This reduces the number of iterations necessary for iterative methods to converge to a solution, and is common practice in the numerical solution of BVPs. Let us choose some nonsingular upper-triangular matrix Mi defining a coordinate transformation,... [Pg.289]


See other pages where Linear preconditioner matrix is mentioned: [Pg.3699]    [Pg.302]    [Pg.34]    [Pg.45]    [Pg.49]    [Pg.103]    [Pg.1250]    [Pg.97]    [Pg.1152]   
See also in sourсe #XX -- [ Pg.167 ]




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