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Kvalifikovaní znovu Monopol max cut cycles integrality gap 1 šarm Deset let Mravenec

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

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

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

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

PDF) On the Configuration-LP for Scheduling on Unrelated Machines
PDF) On the Configuration-LP for Scheduling on Unrelated Machines

Lecture 4b 1 MAX-CUT
Lecture 4b 1 MAX-CUT

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

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

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

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

Maximum cut - Wikipedia
Maximum cut - Wikipedia

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

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

Convex Relaxations and Integrality Gaps
Convex Relaxations and Integrality Gaps

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

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

Integer Programs and Network Models
Integer Programs and Network Models

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

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

Untitled
Untitled

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

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:

On the Unique Games Conjecture
On the Unique Games Conjecture

Lovász-Schrijver Reformulation
Lovász-Schrijver Reformulation