Branch-and-Price Crash Course

Decomposition and refomulation techniques (like Dantzig-Wolfe) can lead to MIP models with many variables. Even only the LP relaxations of such models need to be solved by column generation. We discuss column generation basics and options how to embed this into a branch-and-cut tree leading to branch-and-price.

Explainable AI, Learning Objectives, and the Clever Hans Effect
▶︎

Explainable AI, Learning Objectives, and the Clever Hans Effect

Introduction to Monte Carlo (David Ceperley, University of Illinois)
▶︎

Introduction to Monte Carlo (David Ceperley, University of Illinois)

Marco Lübbecke - Column Generation, Dantzig-Wolfe, Branch-Price-and-Cut
▶︎

Marco Lübbecke - Column Generation, Dantzig-Wolfe, Branch-Price-and-Cut

Exact Algorithms for Vehicle Routing  advances, challenges, and perspectives
▶︎

Exact Algorithms for Vehicle Routing advances, challenges, and perspectives

A conversation with Jim Simons: Mathematics, Common Sense and Good Luck
▶︎

A conversation with Jim Simons: Mathematics, Common Sense and Good Luck

Table Constraints for Integer Programming
▶︎

Table Constraints for Integer Programming

From Optimization Models to Policies:  The Power of Parameterized Deterministic Optimization Models
▶︎

From Optimization Models to Policies: The Power of Parameterized Deterministic Optimization Models

How to solve an Integer Linear Programming Problem Using Branch and Bound
▶︎

How to solve an Integer Linear Programming Problem Using Branch and Bound

lecture5 06 branch and price vrp
▶︎

lecture5 06 branch and price vrp

IE398 Week 4 - Applied Metaheuristics in Solving Vehicle Routing Problems
▶︎

IE398 Week 4 - Applied Metaheuristics in Solving Vehicle Routing Problems

Dantzig-Wolfe Decomposition: A Simple Example
▶︎

Dantzig-Wolfe Decomposition: A Simple Example

Mastering the Optimization Pipeline: A Consultant’s Perspective
▶︎

Mastering the Optimization Pipeline: A Consultant’s Perspective

5. Search: Optimal, Branch and Bound, A*
▶︎

5. Search: Optimal, Branch and Bound, A*

MAMBA from Scratch: Neural Nets Better and Faster than Transformers
▶︎

MAMBA from Scratch: Neural Nets Better and Faster than Transformers

A Branch-Price-and-Cut Algorithm for a Two-Echelon Vehicle Routing Problem with Time Windows
▶︎

A Branch-Price-and-Cut Algorithm for a Two-Echelon Vehicle Routing Problem with Time Windows

Column Generation for the Cutting Stock Problem
▶︎

Column Generation for the Cutting Stock Problem

Conan O’Brien Mocks Trump At Harvard Commencement | Crowd Erupts During Viral Speech
▶︎

Conan O’Brien Mocks Trump At Harvard Commencement | Crowd Erupts During Viral Speech

Computational Complexity and Explanations in Physics–Scott Aaronson (University of Texas at Austin)
▶︎

Computational Complexity and Explanations in Physics–Scott Aaronson (University of Texas at Austin)

Combinatorial Optimization at Google  tools, solvers, and applications
▶︎

Combinatorial Optimization at Google tools, solvers, and applications

Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 2
▶︎

Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 2