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Stanford University

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

Stanford University via Coursera

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Overview

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The primary topics in this part of the specialization are: shortest paths (Bellman-Ford, Floyd-Warshall, Johnson), NP-completeness and what it means for the algorithm designer, and strategies for coping with computationally intractable problems (analysis of heuristics, local search).

Syllabus

  • Week 1
    • The Bellman-Ford algorithm; all-pairs shortest paths.
  • Week 2
    • NP-complete problems and exact algorithms for them.
  • Week 3
    • Approximation algorithms for NP-complete problems.
  • Week 4
    • Local search algorithms for NP-complete problems; the wider world of algorithms.

Taught by

Tim Roughgarden

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4.8 rating at Coursera based on 766 ratings

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