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).
Offert par
À propos de ce cours
Résultats de carrière des étudiants
62%
50%
12%
Compétences que vous acquerrez
Résultats de carrière des étudiants
62%
50%
12%
Offert par

Université 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.
Programme du cours : ce que vous apprendrez dans ce cours
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.
Avis
Meilleurs avis pour SHORTEST PATHS REVISITED, NP-COMPLETE PROBLEMS AND WHAT TO DO ABOUT THEM
This challenging course improves understanding of algorithms and is intellectually stimulating. I learnt the theory behind algorithms and how they are applied to solve real world problems.
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.
very interesting course in Algorithms Specialization. It is sufficient to arouse interest in studying advance algorithm.\n\nThank you for your teaching, Professor Tim.
I am very confident in the skills I learned. I have read some books on algorithms but this course makes the application so clear regardless of your programing language.
À propos du Spécialisation Algorithmes
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.

Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
À quoi ai-je droit si je m'abonne à cette Spécialisation ?
Is financial aid available?
D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.