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Advanced Algorithms

Advanced 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.

Duration: Not defined

Level: Graduate

Certification: No

Cost: Free

Language: English

Type: Self-Paced



Please note: these courses are provided by external sources, links are not actively managed or regularly updated, content might be moved or unavailable.
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