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A new Walk on Equations (WE) Monte Carlo algorithm for solving systems of linear algebraic (LA) equations is proposed and studied. This algorithm relies on a non-discounted sum of an absorbed random walk. It can be applied for either real or complex matrices. Several techniques like simultaneous scoring or the sequential Monte Carlo method are applied to improve the basic algorithm. Numerical tests...
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