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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

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

Integer Programs and Network Models
Integer Programs and Network Models

CSCI 5654 Handout List Required reading is from Chvátal. Optional reading  is from these reference books: A: AMPL K: Karloff M:
CSCI 5654 Handout List Required reading is from Chvátal. Optional reading is from these reference books: A: AMPL K: Karloff M:

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

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

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

18.1 Graph Partitioning Problems
18.1 Graph Partitioning Problems

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

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

Integer Programs and Network Models
Integer Programs and Network Models

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

CS261 Lecture14: Algorithms in Bipartite Graphs | in theory
CS261 Lecture14: Algorithms in Bipartite Graphs | in theory

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

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

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

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

Lovász-Schrijver Reformulation
Lovász-Schrijver Reformulation

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

The Asymmetric Traveling Salesman Problem on Graphs with Bounded Genus
The Asymmetric Traveling Salesman Problem on Graphs with Bounded Genus

Maximum cut - Wikipedia
Maximum cut - Wikipedia

arXiv:1801.07937v3 [cs.DM] 12 Jan 2019
arXiv:1801.07937v3 [cs.DM] 12 Jan 2019

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

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

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