CS 270. Combinatorial Algorithms and Data Structures
Catalog Description: Design and analysis of efficient algorithms for combinatorial problems. Network flow theory, matching theory, matroid theory; augmenting-path algorithms; branch-and-bound algorithms; data structure techniques for efficient implementation of combinatorial algorithms; analysis of data structures; applications of data structure techniques to sorting, searching, and geometric problems.
Units: 3
Prerequisites: COMPSCI 170
Formats:
Spring: 3.0 hours of lecture and 1.0 hours of discussion per week
Fall: 3.0 hours of lecture and 1.0 hours of discussion per week
Grading basis: letter
Final exam status: No final exam
Class Schedule (Fall 2024):
CS 270 – TuTh 11:00-12:29, Soda 306 –
Satish B Rao
Related Areas: