Optimization is a common form of decision making, and is ubiquitous in our society. Its applications range from solving Sudoku puzzles to arranging seating in a wedding banquet. The same technology can schedule planes and their crews, coordinate the production of steel, and organize the transportation of iron ore from the mines to the ports. Good decisions in manpower and material resources management also allow corporations to improve profit by millions of dollars. Similar problems also underpin much of our daily lives and are part of determining daily delivery routes for packages, making school timetables, and delivering power to our homes. Despite their fundamental importance, all of these problems are a nightmare to solve using traditional undergraduate computer science methods.
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Basic Modeling for Discrete Optimization
Universidade de MelbourneInformações sobre o curso
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Experimente o Coursera for BusinessHabilidades que você terá
- Constraint Programming
- Problem Solving
- Mathematical Model
- Discrete Optimization
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Programa - O que você aprenderá com este curso
MiniZinc introduction
Modeling with Sets
Modeling with Functions
Multiple Modeling
Avaliações
- 5 stars86,23%
- 4 stars11,35%
- 3 stars1,69%
- 2 stars0,24%
- 1 star0,48%
Principais avaliações do BASIC MODELING FOR DISCRETE OPTIMIZATION
Wonderful course, very engaging and professionally made. A great course to begin programming in minizinc.
great course for beginners and those who are looking for applications of optimisation. the only problem is it forces you to work with minizinc and may consume extra time than expected
A very interesting course! I learned a lot from this course. Thanks instructors!
Certainly more effort went into this course than I was expecting; well worth the $0 cost of entry.
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