Institut de Química Computacional, Universitat de Girona, Girona (Spain) and Ronin Institute, Montclair, NJ, USA. An in-depth description of an apparently forgotten matrix operation, the reversal ...
Abstract: In this paper Recurrent neural networks for solving linear matrix equations are proposed. we give an overview of recent research into recurrent algorithms for the solution of linear matrix ...
ABSTRACT: In computing the desired complex eigenpair of a matrix, we show that by adding Ruhe’s normalization to the matrix pencil, we obtain a square nonlinear system of equations. In this work, we ...
Abstract: Sparse matrix-vector multiplication (SpMV) is the most important kernel in parallel iterative method for solving modified equation in large scale power system power flow calculation. In this ...
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