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OER Matters

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Keywords: network flow

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Advanced Algorithms, Fall 2005

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Type: Course Related Materials
Subject: Science and Technology
Collection: MIT OpenCourseWare
Grade Level: Post-secondary

Abstract: This course is a first-year graduate course in algorithms. Emphasis is placed on fundamental algorithms and advanced methods of algorithmic design, analysis, and implementation. Techniques to be covered include amortization, randomization, fingerprinting, word-level parallelism, bit scaling, dynamic ... More »

Combinatorial Optimization, Fall 2003

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Type: Course Related Materials
Subject: Mathematics and Statistics
Collection: MIT OpenCourseWare
Grade Level: Post-secondary

Abstract: Thorough treatment of linear programming and combinatorial optimization. Topics include network flow, matching theory, matroid optimization, and approximation algorithms for NP-hard problems. 18.310 helpful but not required.

Introduction to Algorithms (SMA 5503), Fall 2004

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Type: Course Related Materials
Subject: Science and Technology
Collection: MIT OpenCourseWare
Grade Level: Post-secondary

Abstract: Techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic ... More »

Introduction to Algorithms (SMA 5503), Fall 2005

Rating:
Type: Course Related Materials
Subject: Science and Technology
Collection: MIT OpenCourseWare
Grade Level: Post-secondary

Abstract: Techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic ... More »