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Advanced Algorithms, Fall 1999

Author: Karger, David
Subject: Science and Technology
Institution Name: M.I.T.
Collection: MIT OpenCourseWare
Grade Level: Post-secondary

Abstract: A first-year graduate course in algorithms. Emphasizes fundamental algorithms and advanced methods of algorithmic design, analysis, and implementation. Data structures. Network flows. Linear programming. Computational geometry. Approximation algorithms.

Course Type: Full Course
Languages: English
Material Types: Syllabi, Lecture Notes, Homework and Assignments, Activities and Labs
Media Formats: Text/HTML, Downloadable docs

Conditions of Use: Creative Commons Attribution-Noncommercial-Share Alike 2.5

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Keywords

fundamental algorithms, implementation, data structures, network flows, linear programming, computational geometry, approximation algorithms, algorithmic design, algorithmic analysis, string algorithms, maximum flows, online algorithms, scheduling, external memory algorithms, 6.854J, 18.415J