Sentence examples for minimum residual algorithm from inspiring English sources

A matrix-free GMRES (generalized minimum residual) algorithm is presented to solve the approximate system of linear equations arising from Newton linearization.

A key element of the Newton Krylov algorithm is the selection of a preconditioner to accelerate the convergence of the Generalized Minimum Residual algorithm used to solve the Jacobian linear system in each Newton step.

An approximate system of linear equations arising from the Newton linearization is solved by the GMRES (generalized minimum residual) algorithm with a LU-SGS (lower upper symmetric Gauss Seidel) preconditioner.

The computational efficiency of the matrix free method is compared with two common approaches: a global matrix solve technique that uses the GMRES (Generalized minimum residual) algorithm and an explicit method.

Nine algorithms are considered for solving the AMRE: a Sylvester algorithm, an iterative generalized minimum residual (GMRES) algorithm, a fixed-point algorithm and six combined algorithms.

The nonlinear full potential equation is discretized by a finite volume scheme on these Cartesian grids and iteratively solved in an implicit fashion with a generalized minimum residual (GMRES) algorithm.

Figures 4 and 5 illustrate the effectiveness of the proposed relay selection algorithm based on minimum residual interference power.

We have also proposed an adaptive scheme and relay selection algorithm based on the minimum residual interference power.

In this section, we aim to propose a simple relay selection algorithm based on the minimum residual interference power in order to improve the system performance.

In previous papers the authors of this paper showed two algorithms for solving DMREs based on an iterative Generalized Minimum RESidual (GMRES) approach and on a Fixed-Point approach.

The Max-Min-RE heuristic aims to maximize the minimum residual energy for all combinations of sink sites and sinks for a given routing algorithm.