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Last updated: May 9, 2026, 11:30 PM ET

Computational Mathematics & Optimization

Researchers detailed the "Sparse Cholesky Elimination Tree" construction method, offering a more memory-efficient approach for solving large sparse linear systems common in engineering simulations. This technique improves upon prior methods by minimizing the storage required for intermediate factorizations during the Cholesky decomposition process, which is vital for iterative solvers.