Constraint programming

Constraint satisfaction dual problem

The dual problem is a reformulation of a constraint satisfaction problem expressing each constraint of the original problem as a variable. Dual problems only contain binary constraints, and are therefore solvable by algorithms tailored for such problems. The join graphs and join trees of a constraint satisfaction problem are graphs representing its dual problem or a problem obtained from the dual problem removing some redundant constraints. (Wikipedia).

Constraint satisfaction dual problem
Video thumbnail

V4-02. Linear Programming. Definition of the Dual problem.

Math 484: Linear Programming. Definition of the Dual problem. Wen Shen, 2020, Penn State University

From playlist Math484 Linear Programming Short Videos, summer 2020

Video thumbnail

Constraint-Satisfaction Problems in Python

Author David Kopec discusses Constraint-Satisfaction Problems in Python. To learn more, see David's book Classic Computer Science Problems in Python | http://mng.bz/opAp Use the discount code TWITKOPE40 for 40% off of any Manning title. A large number of problems which computational too

From playlist Python

Video thumbnail

Constraint Satisfaction Problems and Probabilistic Combinatorics I - Fotios Illiopoulos

Computer Science/Discrete Mathematics Seminar II Topic: Constraint Satisfaction Problems and Probabilistic Combinatorics I Speaker: Fotios Illiopoulos Affiliation: Member, School of Mathematics Date: November 19, 2019 For more video please visit http://video.ias.edu

From playlist Mathematics

Video thumbnail

Constraint Satisfaction Problems in Python

Author David Kopec discusses Constraint-Satisfaction Problems in Python. To learn more, see David's book Classic Computer Science Problems in Python | http://mng.bz/95B1 This video is also available on Manning's liveVideo platform: http://mng.bz/j2wP Use the discount code WATCHKOPEC40 f

From playlist Python

Video thumbnail

Bartolomeo Stellato - Learning for Decision-Making Under Uncertainty - IPAM at UCLA

Recorded 01 March 2023. Bartolomeo Stellato of Princeton University, Operations Research and Financial Engineering, presents "Learning for Decision-Making Under Uncertainty" at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Abstract: We present two data-driven methods t

From playlist 2023 Artificial Intelligence and Discrete Optimization

Video thumbnail

V4-05. Linear Programming. Definition of the Dual problem. Part 4

Math 484: Linear Programming. Definition of the Dual problem. Part 4 Wen Shen, 2020, Penn State University

From playlist Math484 Linear Programming Short Videos, summer 2020

Video thumbnail

V4-04. Linear Programming. Definition of the Dual problem. Part 3

Math 484: Linear Programming. Definition of the Dual problem. Part 3 Wen Shen, 2020, Penn State University

From playlist Math484 Linear Programming Short Videos, summer 2020

Video thumbnail

Melanie Zeilinger: "Learning-based Model Predictive Control - Towards Safe Learning in Control"

Intersections between Control, Learning and Optimization 2020 "Learning-based Model Predictive Control - Towards Safe Learning in Control" Melanie Zeilinger - ETH Zurich & University of Freiburg Abstract: The question of safety when integrating learning techniques in control systems has

From playlist Intersections between Control, Learning and Optimization 2020

Video thumbnail

Bertrand Maury - Transport optimal et mouvements de foules sous contrainte de congestion (Part 1)

Transport optimal et mouvements de foules sous contrainte de congestion (Part 1)

From playlist Inter’actions en mathématiques 2015

Video thumbnail

Algorithms and lower bounds for entangled XOR games - A. Natarajan - Workshop 2 - CEB T3 2017

Anand Natarajan / 25.10.17 Algorithms and lower bounds for entangled XOR games In this talk I will consider the complexity of the problem of determining, given a nonlocal XOR game with k = 3 players, whether there exists an entangled strategy for the game using commuting operators that s

From playlist 2017 - T3 - Analysis in Quantum Information Theory - CEB Trimester

Video thumbnail

Bertrand Maury: Mathematics behind some phenomena in crowd motion: Stop and Go waves and...

Abstract: This minicourse aims at providing tentative explanations of some specific phenomena observed in the motion of crowds, or more generally collections of living entities. The first lecture shall focus on the so-called Stop and Go Waves, which sometimes spontaneously emerge and persi

From playlist Mathematical Physics

Video thumbnail

Bertrand Maury - Transport optimal et mouvements de foules sous contrainte de congestion (Part 2)

Transport optimal et mouvements de foules sous contrainte de congestion (Part 2)

From playlist Inter’actions en mathématiques 2015

Video thumbnail

The moment-SOS hierarchy – Jean Lasserre – ICM2018

Control Theory and Optimization Invited Lecture 16.2 The moment-SOS hierarchy Jean Lasserre Abstract: The Moment-SOS hierarchy initially introduced in optimization in 2000, is based on the theory of the K-moment problem and its dual counterpart, polynomials that are positive on K. It tur

From playlist Control Theory and Optimization

Video thumbnail

A Framework for Quadratic Form Maximization over Convex Sets -Vijay Bhattiprolu

Computer Science/Discrete Mathematics Seminar II Topic: A Framework for Quadratic Form Maximization over Convex Sets Speaker: Vijay Bhattiprolu Affiliation: Member, School of Mathematics Date: April 28, 2020 For more video please visit http://video.ias.edu

From playlist Mathematics

Video thumbnail

Review Questions (Simultaneous Equations)

More resources available at www.misterwootube.com

From playlist Types of Relationships

Related pages

Constraint satisfaction problem | Chordal graph | Decomposition method (constraint satisfaction) | Binary constraint | Algorithm | Hidden transformation