Lecture

Branch & Bound Algorithm: LP Based Approach

Description

This lecture covers the Branch & Bound algorithm, focusing on the LP-based approach. It explains the steps involved, such as branching, pruning, and bounding, to find the optimal solution efficiently. The instructor discusses examples and applications, including the Pigeonhole Problem and Directed TSP Lower Bound.

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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_tcjpga47

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Ontological neighbourhood

Theoretical computer science

Algorithms and data structures: Combinatorial optimization

Mathematics

Mathematical logic: Set theory

Economics

Microeconomics: Financial economics

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