Lecture 22 11 04 Approximation Algorithms Linear Programming Relaxations Information Guide

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Overview on Lecture 22 11 04 Approximation Algorithms Linear Programming Relaxations

Lecture 22 11/04 Approximation Algorithms: Linear Programming Relaxations Update
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Full Lecture 21 11/01 Approximation Algorithms: Relaxations News
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Information MIT 6.854 Spring 2016 Lecture 14: Rounding Linear Programming Relaxations Update
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Lecture 19 10/28 Approximation Algorithms
Lecture 19 10/28 Approximation Algorithms
Metric Rounding of LP Relaxations
Metric Rounding of LP Relaxations
Discrepancy and Approximation Algorithms
Discrepancy and Approximation Algorithms
Lecture 19: Outer Approximation Algorithm for Convex MINLO, by Ashutosh Mahajan.
Lecture 19: Outer Approximation Algorithm for Convex MINLO, by Ashutosh Mahajan.
Improved Approximation for Non-preemptive Scheduling via Time-indexed LP Relaxations
Improved Approximation for Non-preemptive Scheduling via Time-indexed LP Relaxations
LPs and Convex Programming Relaxations and Rounding for Stochastic Problems
LPs and Convex Programming Relaxations and Rounding for Stochastic Problems
Approximation Algorithm : Linear Program: by Saket Saurabh
Approximation Algorithm : Linear Program: by Saket Saurabh
Advanced Algorithms - Lecture 20
Advanced Algorithms - Lecture 20
Linear Programming
Linear Programming
László Végh: A constant-factor approximation algorithm for the asymmetric tsp (Part II)
László Végh: A constant-factor approximation algorithm for the asymmetric tsp (Part II)
Lecture 10.1 Greedy and LP rounding methods for approximation algorithms
Lecture 10.1 Greedy and LP rounding methods for approximation algorithms

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Last Updated: October 23, 2026

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Lecture 9.2: Linear Programming: Max-flow Min-cut via LP duality, Intro Approximation Algorithm Guide
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Summary

recorded by Andrew Xia there may be audio issues which I am trying to fix. In the next class we will talk about Sasho Nikolov, University of Toronto simons.berkeley.edu/talks/sasho-nikolov-09- GIAN course on Advances in Mixed-Integer Nonlinear Optimization conducted by Sven Leyffer, Pietro Belotti and Ashutosh ... Shi Li, SUNY Buffalo simons.berkeley.edu/talks/shi-li-09-15-17 Discrete Optimization via Continuous Anupam Gupta, Carnegie Mellon University simons.berkeley.edu/talks/anupam-gupta-09- Okay so that was we were optimizing which is less than equal to Contents: - dual LPs - set cover by dual fitting - primal-dual method for set cover - introduction PTAS, FPTAS, class APX.

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