Abstract: The Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) is a widespread real-world challenge, and numerous algorithms have been proposed to address it. However, in the context of an ...
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Master recursion and speed up Python code
Recursion is more than a coding trick—it’s a powerful way to simplify complex problems in Python. From elegant tree traversals to backtracking algorithms, mastering recursion opens the door to cleaner ...
Abstract: Optimization problems in real-world applications often involve dynamic environmental changes, requiring algorithms to adapt quickly, track optimal solutions, and maintain efficiency.
AI acts as a feature to support existing solutions, which enables predictions and control process improvements beyond ...
We are looking for a Doctoral Researcher for Quantum-inspired tensor network machine learning solvers for super-moiré van der Waals materials.
turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...
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