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CS 261

Optimization and Algorithmic Paradigms

  • spring
  • 2021-2022

3 units

Letter or Credit/No Credit

Algorithms for network optimization: max-flow, min-cost flow, matching, assignment, and min-cut problems. Introduction to linear programming. Use of LP duality for design and analysis of algorithms. Approximation algorithms for NP-complete problems such as Steiner Trees, Traveling Salesman, and scheduling problems. Randomized algorithms. Introduction to sub-linear algorithms and decision making under uncertainty. Prerequisite: 161 or equivalent.

Course Prequisites

CS 261 is useful for

Sections

spring
  • LEC

    • Monday Wednesday 1:30:00 PM - 3:00:00 PM with Ashish Goel

Grade Distribution

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