Hard in Theory, Easy in Practice? Solving Hard Optimization Problems in Geometry and Elsewhere
1:08:41
YouTubeCSAChannel IISc
Hard in Theory, Easy in Practice? Solving Hard Optimization Problems in Geometry and Elsewhere
Speaker : Sándor Fekete Date : 23rd Feb 2026 Abstract: A main objective of Computer Science and Computational Mathematics is to develop methods for solving challenging algorithmic problems. Often this quest encounters fundamental challenges, like NP-completeness- and resorts to ways in which these obstructions can be sidestepped, e.g., with ...
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