Abstract
Two iterative methods with symmetric matrix inversion are proposed for solving systems of linear algebraic equations (SLAE). Orthogonal discrete transforms used for solving SLAE are robust to rounding errors, while at the same time they are fast and reduce computer memory requirements.
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