In previous courses of our online specialization you've learned the basic algorithms, and now you 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.
This course is part of the Data Structures and Algorithms Specialization
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About this Course
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Try Coursera for BusinessSkills you will gain
- Python Programming
- Linear Programming (LP)
- Np-Completeness
- Dynamic Programming
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Syllabus - What you will learn from this course
Flows in Networks
Linear Programming
NP-complete Problems
Coping with NP-completeness
Reviews
- 5 stars72.25%
- 4 stars18.29%
- 3 stars5.64%
- 2 stars1.67%
- 1 star2.13%
TOP REVIEWS FROM ADVANCED ALGORITHMS AND COMPLEXITY
It's my pleasure to learn the course from the top instructors and this course will be helpful for my future
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 informative course with challenging assignments. It will surely make your data structure concepts clearer.
Very Very Challenging Course , it test your patience and rewards is extremely satisfying. Lot of learning on a complicated subject of NP-Hard problems.
About the Data Structures and Algorithms Specialization

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