Linear programming (LP) is among the most fundamental optimization techniques. However, solving LP problems on conventional digital hardware is increasingly constrained by the polynomial computational ...
Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...
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