Basic Modeling for Discrete Optimization The University of Melbourne The Chinese University of Hong Kong This is the...

A typical problem requiring us to select a subset from a set of objects that meets some criteria...

MiniZinc allows us to directly describe and solve discrete optimization problems. MiniZinc is a modeling language, you can...

Scheduling is one of the most fascinating areas of Discrete Optimization. They are beautiful scientifically meanwhile there is...

Mixed Integer Program is a big field. Essentially a mixed integer program is a linear program with m...

Invented byΒ George Dantzig in 1947, Linear Programming is one of the most fundamental tools in combinatorial optimization. You...

Previously we talked about constraint programming, which actually works with partial assignments, we try to extend them, and...

Constraint Programming is one of the main paradigms to actually tackle optimization problems. The idea is to look...

Filling a knapsack is an NP-hard optimization problem, it is widely believed that in the worst case it...

Operations Research (3): Theory National Taiwan University What a long journey, but totally worth it! The theory taught...

The theory of Operations Research has been used to develop models in many fields like statistics and machine...

In the case of unconstrained non-linear programs, we may determine whether the objective function is convex and then...

Compared with linear programs, non-linear programs (NLPs) are much more difficult to solve. In an NLP, a local...

Network flow models are one specific format of mathematical programs. These are used to study operations that are...

Previously, we mentioned that an sensitivity analysis tool called Shadow Price is helpful to evaluate the impact of...

Andrew Ng Anna Koop Brenda Gunderson Computer Communications Specialization Cryptography Differential Equations for Engineers Economics of Money and Banking Evgenii Vashukevich Foundations of Quantum Mechanics Garud Iyengar Ivan Vybornyi Jeffrey Chasnov John Daily Jonathan Katz Kevin Webster Ling-Chieh Kung Machine Learning: Algorithms in the Real World Martin Haugh Mathematics for Engineers Specialization Matthew Hutchens Michael Donohoe Michael Fricke Microsoft Azure Fundamentals AZ-900 Exam Prep Specialization Operations Research (3): Theory Perry Mehrling Petro Lisowsky Physical Basics of Quantum Computing Practical Reinforcement Learning Rebekah May Search Engine Optimization (SEO) Specialization Sergey Sysoev Statistical Thermodynamics Specialization Statistics with Python Specialization Taxation of Business Entities I: Corporations TensorFlow 2 for Deep Learning Specialization U.S. Federal Taxation Specialization Understanding Modern Physics I: Relativity and Cosmology Wounjhang Park Xiaobo Zhou Yi Wang

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