You've learned the basic algorithms now and are ready to step into the area of more complex problems and algorithms to solve them. Advanced algorithms build upon basic ones and use new ideas. We will start with networks flows which are used in more typical applications such as optimal matchings, finding disjoint paths and flight scheduling as well as more surprising ones like image segmentation in computer vision. We then proceed to linear programming with applications in optimizing budget allocation, portfolio optimization, finding the cheapest diet satisfying all requirements and many others. Next we discuss inherently hard problems for which no exact good solutions are known (and not likely to be found) and how to solve them in practice. We finish with a soft introduction to streaming algorithms that are heavily used in Big Data processing. Such algorithms are usually designed to be able to process huge datasets without being able even to store a dataset.
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來自ADVANCED ALGORITHMS AND COMPLEXITY的熱門評論
Learned a lot. great material. Tough homework I appreciated that the grader demanded good implementations but I think it would have been good to have a little guidance as to how to get there.
The problems are really challenging, thank you! However, the instructor is not very active in the discussion forum, which is a pity when you really need help and get stucked in the problem set.
Very Educational and Enlightening. The only criticism I have is that the starter files generally need more modification than indicated to create a successful program.
As usual, complex arguments explained in simple terms! Some problems are really tough! (e.g. there's a problem from Google Code Jam).\n\nThank you for this course!
關於 数据结构与算法 專項課程
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