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A Randomized Rounding Approach to the Traveling Salesman Problem
A Randomized Rounding Approach to the Traveling Salesman Problem

Mixed-integer programming techniques for the connected max- k -cut problem  | SpringerLink
Mixed-integer programming techniques for the connected max- k -cut problem | SpringerLink

Mixed-integer programming techniques for the connected max- k -cut problem  | SpringerLink
Mixed-integer programming techniques for the connected max- k -cut problem | SpringerLink

Optimization over Polynomials: Selected Topics
Optimization over Polynomials: Selected Topics

On the Unique Games Conjecture
On the Unique Games Conjecture

Maximum cut - Wikipedia
Maximum cut - Wikipedia

CSC2411 - Linear Programming and Combinatorial Optimization Lecture 12:  Semidefinite Programming(SDP) Relaxation
CSC2411 - Linear Programming and Combinatorial Optimization Lecture 12: Semidefinite Programming(SDP) Relaxation

A Unified Approach to Mixed-Integer Optimization: Nonlinear Formulations  and Scalable Algorithms
A Unified Approach to Mixed-Integer Optimization: Nonlinear Formulations and Scalable Algorithms

with an integrality gap of almost 2 | Coursera
with an integrality gap of almost 2 | Coursera

Untitled
Untitled

CSC2411 - Linear Programming and Combinatorial Optimization Lecture 12:  Semidefinite Programming(SDP) Relaxation
CSC2411 - Linear Programming and Combinatorial Optimization Lecture 12: Semidefinite Programming(SDP) Relaxation

Approximation Algorithms CS599 Homework 3 Date: December 5, 2014 Due:  December 12, 2014 1. Discrepancy. Consider a set system S
Approximation Algorithms CS599 Homework 3 Date: December 5, 2014 Due: December 12, 2014 1. Discrepancy. Consider a set system S

Branch-and-bound algorithms: A survey of recent advances in searching,  branching, and pruning - ScienceDirect
Branch-and-bound algorithms: A survey of recent advances in searching, branching, and pruning - ScienceDirect

SDP gaps and UGC-hardness for Max-Cut-Gain
SDP gaps and UGC-hardness for Max-Cut-Gain

Improved Approximation Algorithms for Maximum Cut and Satis ability  Problems Using Semide nite Programming Introduction
Improved Approximation Algorithms for Maximum Cut and Satis ability Problems Using Semide nite Programming Introduction

Mixed-integer programming techniques for the connected max- k -cut problem  | SpringerLink
Mixed-integer programming techniques for the connected max- k -cut problem | SpringerLink

Improved Approximation Algorithms for Maximum Cut and Satis ability  Problems Using Semide nite Programming
Improved Approximation Algorithms for Maximum Cut and Satis ability Problems Using Semide nite Programming

Branch-and-bound algorithms: A survey of recent advances in searching,  branching, and pruning - ScienceDirect
Branch-and-bound algorithms: A survey of recent advances in searching, branching, and pruning - ScienceDirect

Integrality Gaps for Sherali–Adams Relaxations
Integrality Gaps for Sherali–Adams Relaxations

On the Complexity of Unique Games and Graph Expansion
On the Complexity of Unique Games and Graph Expansion

Strengthening Integrality Gaps for Capacitated Network Design and Covering  Problems
Strengthening Integrality Gaps for Capacitated Network Design and Covering Problems

Lovász-Schrijver Reformulation
Lovász-Schrijver Reformulation

MINIMUM COST FLOWS: BASIC ALGORITHMS
MINIMUM COST FLOWS: BASIC ALGORITHMS

Branch-and-bound algorithms: A survey of recent advances in searching,  branching, and pruning - ScienceDirect
Branch-and-bound algorithms: A survey of recent advances in searching, branching, and pruning - ScienceDirect

1 The Algorithm of Goemans and Williamson
1 The Algorithm of Goemans and Williamson