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Advanced Algorithms, Fall 2005
- Author: Karger, David
- Subject: Science and Technology
- Institution Name: M.I.T.
- 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 programming, network flow, linear programming, fixed-parameter algorithms, and approximation algorithms. Domains include string algorithms, network optimization, parallel algorithms, computational geometry, online algorithms, external memory, cache, and streaming algorithms, and data structures.
- Course Type: Full Course
- Languages: English
- Material Types: Activities and Labs, Homework and Assignments, Lecture Notes, Syllabi
- Media Formats: Text/HTML, Downloadable docs
- Conditions of Use:
Creative Commons Attribution-Noncommercial-Share Alike 3.0
