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Achieving state-of-the-art robustness in first-order solvers, PDHCG-CQP scales effectively to massive problem sizes with multi-GPU support.
CARDAL achieves up to 4x speedups in solving large-scale SDPs while ensuring robust performance across various applications.
LLMs that ace one-shot optimization problems often stumble when faced with the messy reality of iterative model building, revision, and explanation in industrial settings.
