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Stanford University

Algorithms: Design and Analysis, Part 2

Stanford University via Stanford OpenEdx

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Overview

Dive into advanced algorithm design and analysis techniques in this Stanford University course. Explore topics like dynamic programming, linear programming, NP-completeness, and approximation algorithms over 4 hours of weekly study. Enhance your problem-solving skills and gain a deeper understanding of complex algorithmic concepts essential for tackling real-world computational challenges.

Taught by

Tim Roughgarden

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