GPU-accelerated sparse matrix condition number estimation using PyTorch
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Updated
Jul 15, 2026 - Python
GPU-accelerated sparse matrix condition number estimation using PyTorch
Selects its own solve strategy — direct, LU or least-squares — from matrix shape and condition number, with a RidgeCV fallback for extreme ill-conditioning. Returns diagnostics alongside every solution. 19 tests.
Linear system solver using Rouché–Capelli theorem and SVD rank computation — handles unique, inconsistent, and underdetermined systems with condition number checking and NHS application.
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