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Advanced Algorithms, Fall 2005
(Complete Item Description)
- 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.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- Collection:
- MIT OpenCourseWare
