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(2) In future presentations of the research findings, in addition to the course project website and public presentations, your real name and personal information will not appear in this research report. If you are interested in the research results, we can provide you with an executive summary after the study is completed.
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Uedu Open / Advanced Algorithms
6.854J

Advanced Algorithms

Prof. David R. Karger | Fall 2005
Data Science, Analytics & Computer Technology Algorithms and Data Structures Computer Science Engineering
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CC BY-NC-SA 4.0
課程簡介
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 Information
SourceMIT 開放式課程
科系Electrical Engineering and Computer Science
LanguageEnglish
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