International Journal of Applied Mathematics and Computing
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Optimization of Numerical Algorithms for Solving Large Linear Equation Systems in Industrial Mathematical Computing
The rapid advancement of modern computing has driven extensive research on numerical algorithms for solving large-scale systems of linear equations. Classical methods such as LU decomposition, Jacobi, and Gauss–Seidel have been revisited and optimized to leverage parallel architectures, GPUs, and ev
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