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18.1 Graph Partitioning Problems
18.1 Graph Partitioning Problems

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

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

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

Convex Relaxations and Integrality Gaps
Convex Relaxations and Integrality Gaps

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

Untitled
Untitled

PDF) Approximate Max-Flow Min-(Multi)Cut Theorems and Their Applications
PDF) Approximate Max-Flow Min-(Multi)Cut Theorems and Their Applications

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

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

Lovász-Schrijver Reformulation
Lovász-Schrijver Reformulation

Integer Programs and Network Models
Integer Programs and Network Models

Maximum cut - Wikipedia
Maximum cut - Wikipedia

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

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

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

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

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

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

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

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

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