Mixed-Integer Programming Courses and Certifications

GERAD Research Center

Mixed-Integer Programming: 65 Years of History and the Artificial Intelligence Challenge - DS4DM Coffee Talk

Explore the evolution of Mixed-Integer Programming, from its 1958 roots to modern AI integration, and its impact on solving diverse optimization problems.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Inside Livermore Lab

Simultaneous Feature Selection and Outlier Detection Using Mixed-Integer Programming

Explore mixed-integer programming for simultaneous feature selection and outlier detection in high-dimensional regressions, with applications to biomedical research and microbiome studies.

• YouTube
• 1 hour
• On-Demand
• Free Video

Discrete Optimization

12 reviews

Learn how to solve complex search problems using discrete optimization concepts and algorithms in this 8-week course from the University of Melbourne.

• Coursera
• 2 days 17 hours 10 minutes
• On-Demand
• Free Online Course (Audit)

University of Melbourne;  The Chinese University of Hong Kong

Solving Algorithms for Discrete Optimization

42 ratings at Coursera

Explore advanced solving techniques for discrete optimization problems, enhancing modeling skills and solver selection. Learn constraint programming, mixed integer programming, and local search methods.

• Coursera
• 22 hours 12 minutes
• On-Demand
• Free Online Course (Audit)

Mathematical Optimization for Business Problems

Learn mathematical programming fundamentals to model and solve optimization problems using IBM Decision Optimization technology, covering key concepts, techniques, and algorithms.

• Cognitive Class
• 6 hours
• On-Demand
• Free Online Course

Simons Institute

Reinforcement Learning in Recommender Systems - Some Challenges

Explore challenges in applying reinforcement learning to recommender systems, including scale, stochastic action sets, and user learning over long horizons. Gain insights on addressing these issues.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Alan Turing Institute

Optimisation - Linear Integer Programming - Professor Raphael Hauser

Explore linear integer programming, mixed integer models, and branch-and-bound algorithms for solving complex optimization problems in supply chain management and traveling salesman scenarios.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Neural Network Verification as Piecewise Linear Optimization

Neural network verification as piecewise linear optimization: exploring robust methods to prove model reliability against attacks, using LP and MIP formulations for efficient problem-solving in various network types.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Hausdorff Center for Mathematics

Cut Generating Functions

Explore cut generating functions in mixed integer programming, focusing on subadditive functions, their properties, and applications in deriving cutting planes. New results and open questions discussed.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Building AI Solutions with Google OR-Tools

Learn to build AI solutions using Google OR-Tools for optimization problems. Explore constraint programming, linear programming, and mixed-integer programming through practical examples like Sudoku and scheduling.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Conference Talk

Institute for Pure & Applied Mathematics (IPAM)

Decision-Focused Learning - Integrating Downstream Combinatorics in ML

Explore the integration of machine learning and discrete optimization to enhance problem-solving in real-world scenarios, focusing on decision-focused learning and tailored solution strategies.

• YouTube
• 27 minutes
• On-Demand
• Free Video

The Julia Programming Language

Solving Matching Problems in Practical Applications Using JuMP

Optimize supply chain matching with JuMP: Efficiently model connections in transportation networks, balancing idle times, delays, and resource allocation for improved performance and robustness.

• YouTube
• 13 minutes
• On-Demand
• Free Video

The Julia Programming Language

Optimization Methods for Robot Motion Planning in JuMP - JuliaCon 2024

Explore optimization techniques for robot motion planning using JuMP, covering problem formulation, solution methods, and visualization tools for smooth, collision-free paths.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Wolfram

Global Optimization in Wolfram Language: Solving Nonlinear and Nonconvex Problems

Explore advanced global optimization techniques in Wolfram Language for solving complex nonlinear and mixed-integer problems with real-world examples.

• YouTube
• 19 minutes
• On-Demand
• Free Video

GERAD Research Center

Large-Scale Optimization Methods for Logical Reasoning: A Novel Perspective

Explore optimization-based framework enhancing Description Logic reasoning using mixed-integer programming. Learn novel mapping of DL axioms to inequalities, leveraging advanced techniques for large ontological datasets.

• YouTube
• 53 minutes
• On-Demand
• Free Video