a novel aproach on multi-metric optimization
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Updated
Jul 8, 2025
a novel aproach on multi-metric optimization
High-performance C++ implementations of iterative methods for solving large sparse linear systems and computing eigenvalues, including Conjugate Gradient, Preconditioned CG, Jacobi, Arnoldi, and QR-based solvers, optimized for memory efficiency and numerical stability.
IT4110 Scientific Computing Project
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