Solving Algorithms for Discrete Optimization

Instructors: Prof. Peter James Stuckey +1 more

Instructor ratings

We asked all learners to give feedback on our instructors based on the quality of their teaching style.

Skills you'll gain

  •   Performance Tuning
  •   Mathematical Modeling
  •   Graph Theory
  •   Linear Algebra
  •   Operations Research
  •   Applied Mathematics
  •   Advanced Mathematics
  •   Computational Thinking
  •   Algorithms
  •   Combinatorics
  • There are 4 modules in this course

    This course is intended for students who have completed Advanced Modelling for Discrete Optimization. In this course, you will extend your understanding of how to solve challenging discrete optimization problems by learning more about the solving technologies that are used to solve them, and how a high-level model (written in MiniZinc) is transformed into a form that is executable by these underlying solvers. By better understanding the actual solving technology, you will both improve your modeling capabilities, and be able to choose the most appropriate solving technology to use. Watch the course promotional video here: https://www.youtube.com/watch?v=-EiRsK-Rm08

    Advanced Constraint Programming

    Mixed Integer Programming

    Local Search

    Explore more from Software Development

    ©2025  ementorhub.com. All rights reserved