Optimisation - Linear Integer Programming - Professor Raphael Hauser
Alan Turing Institute via YouTube
Overview
Explore linear integer programming and mixed integer programming in this comprehensive lecture by Professor Raphael Hauser from the Alan Turing Institute. Delve into supply chain management applications and learn about the branch and bound algorithm, including its use in solving the Traveling Salesman problem. Understand the mechanism of bounds, infeasibility, pruning by optimality, and LP relaxation. Examine fractional branching techniques and their implementation in optimization problems. Gain insights from a renowned expert with extensive experience in mathematics, theoretical physics, and operations research, whose work spans across numerical analysis, applied probability, and distributed computing.
Syllabus
Intro
Linear Integer Programming
Mixed Integer Programming
Supply Chain Management
Branch and Bound
Traveling Salesman
Branchandbound
Mechanism of Bounds
Example
Infeasibility
Pruning by Optimality
LP Relaxation
fractional branching
Taught by
Alan Turing Institute