The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees).
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.
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來自GREEDY ALGORITHMS, MINIMUM SPANNING TREES, AND DYNAMIC PROGRAMMING的熱門評論
I learned more about Greedy Algorithms and Algorithms to compute MST's and their importance on real world problems. Also I got to start to understand Dynamic Programming in a way I didn't before.
Like the other courses in this specialization, the material is interesting and coherent. The pace is not fast enough to get lost and not so slow to insult your intelligence. I enjoyed it a lot!
One of the best courses to make a student learn DP in a way that enables him/her to think of the subproblems and way to proceed to solving these subproblems. Definitely helpful for me. Thanks.
Best (not one of the best) course available on web to learn theoretical algorithms. You will love it. Enjoy new journey and perspect to view and analyze algorithms. Loved it damn!
關於 算法 專項課程
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.