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).
Este curso forma parte de Programa especializado: Algoritmos
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Acerca de este Curso
Habilidades que obtendrás
- Data Structure
- Algorithms
- Np-Completeness
- Dynamic Programming
ofrecido por

Universidad de Stanford
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
Programa - Qué aprenderás en este curso
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.
Reseñas
- 5 stars85,21 %
- 4 stars12,97 %
- 3 stars1,16 %
- 2 stars0,51 %
- 1 star0,12 %
Principales reseñas sobre SHORTEST PATHS REVISITED, NP-COMPLETE PROBLEMS AND WHAT TO DO ABOUT THEM
Great one for people with advanced understanding! Others will find it slightly hard to follow!
This is the most challenging course in this specialization. Assignments as well as test questions require good amount of thinking. One of the best courses I did on Coursera.
Nice course, a lot of information in short time. I think is need more time than 4 weeks to finish this course.
unlike previous 3 courses some of course 4's quiz problems are really difficult and not sure how to approach...
Acerca de Programa especializado: Algoritmos
Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least a little programming experience. The specialization is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. After completing this specialization, you will be well-positioned to ace your technical interviews and speak fluently about algorithms with other programmers and computer scientists.

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