Abstract: In response to practical challenges in food delivery logistics, we introduce a novel algorithm to address the Pickup and Delivery Problem with Time Windows (PDPTW). Our method employs a ...
An analysis of data from 200,000 students using a computer-assisted math program supports an optimistic view of skill-focused ...
Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.
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