Greedy Algorithms Minimum Spanning Trees and Dynamic Programming faq

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4.8
learnersLearners: 70,763
instructor Instructor: Algorithms Specialization instructor-icon
duration Duration: duration-icon

Unlock the secrets of efficient problem-solving with "Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming." Explore essential topics like scheduling, minimum spanning trees, clustering, and Huffman codes through the lens of greedy algorithms. Dive into dynamic programming and master concepts such as knapsack problems, sequence alignment, and optimal search trees. Gain the tools to optimize resource allocation and solve complex optimization challenges. Delve into this specialized domain and enhance your problem-solving skills. Join now and elevate your algorithmic expertise.

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Course Feature

costCost:

Free

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 14th, 2023]

This course focuses on two key topics: greedy algorithms and dynamic programming. Participants will explore various applications of greedy algorithms such as scheduling, minimum spanning trees, clustering, and Huffman codes. Additionally, the course covers dynamic programming concepts including knapsack problems, sequence alignment, and optimal search trees. Through a combination of theory and practical examples, learners will develop a solid understanding of these algorithms and their real-world applications. Join now to enhance your problem-solving skills and master the art of designing efficient algorithms.

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