Discover the power of linear programming and randomized rounding to solve NP-hard combinatorial optimization problems. Learn to recognize and design algorithms to solve your own problems in this two-part course on Approximation Algorithms. With no programming assignments, this course is perfect for those with a theoretical background in Algorithms.
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This course provides an in-depth look at algorithms and data structures, with a focus on Java implementations. Learn the essential information needed to become a serious programmer, and gain an understanding of graph- and string-processing algorithms. Get access to all the features of this course for free, and start your journey to becoming a better programmer today!
Analysis of Algorithms
2.5
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Learn the calculus needed to make precise quantitative predictions of large combinatorial structures with this free course on Analysis of Algorithms. Covering generating functions and real asymptotics, this course also introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings. Enroll now and start your journey to mastering algorithms!
Divide and Conquer Sorting and Searching and Randomized Algorithms
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Coursera7,342 learners
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Learn to design efficient algorithms and analyze their complexity with this course. Master the fundamentals of sorting and searching, divide and conquer, and randomized algorithms. Gain the skills to design and analyze algorithms for any problem.
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