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Karl Bringmann: Pseudopolynomial-time Algorithms for Optimization Problems
Hausdorff Center for Mathematics
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What are pseudo-polynomial run times? | Knapsack Dynamic Programming
Algorithms With Brenton
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Karl Bringmann (Max Planck Institute): Subset Sum Through the Lens of Fine-Grained Complexity
Computational Complexity
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1:06:16
Didier Henrion: Solving numerically polynomial optimization problems
Mathematics of Computation and Optimisation
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DAA 26 – NP-Optimization Problems, Decision Versions & Hardness | CS F364
Abhishek Mishra – Mathematics & TCS
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Quantum Algorithms for Optimization | Quantum Colloquium
Simons Institute for the Theory of Computing
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1:07:17
Computational Complexity of Polynomial Time Problems: Introduction
Simons Institute for the Theory of Computing
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