Coursera – Operations Research (2): Optimization Algorithms 2023-11

Coursera – Operations Research (2): Optimization Algorithms 2023-11 Downloadly IRSpace

Coursera – Operations Research (2): Optimization Algorithms 2023-11
Coursera – Operations Research (2): Optimization Algorithms 2023-11

Operations Research (2): Optimization Algorithms, Operations Research (OR) is a field in which people use mathematical and engineering methods to study optimization problems in Business and Management, Economics, Computer Science, Civil Engineering, Electrical Engineering, etc. The series of courses consists of three parts, we focus on deterministic optimization techniques, which is a major part of the field of OR. As the second part of the series, we study some efficient algorithms for solving linear programs, integer programs, and nonlinear programs. We also introduce the basic computer implementation of solving different programs, integer programs, and nonlinear programs and thus an example of algorithm application will be discussed. we briefly introduce the course and give a quick review about some basic knowledge of linear algebra, including Gaussian elimination, Gauss-Jordan elimination, and definition of linear independence. Complicated linear programs were difficult to solve until Dr. George Dantzig developed the simplex method. In this week, we first introduce the standard form and the basic solutions of a linear program. With the above ideas, we focus on the simplex method and study how it efficiently solves a linear program. Finally, we discuss some properties of unbounded and infeasible problems, which can help us identify whether a problem has optimal solution.

What you’ll learn

  • Learn how to use algorithms to solve different types of optimization programs.

  • Learn how to use Gurobi solver with Python to solve these problems efficiently.

Specificatoin of Operations Research (2): Optimization Algorithms

  • Publisher : Coursera
  • Teacher : Ling-Chieh Kung
  • Language : English
  • Level : Intermediate
  • Number of Course : 6
  • Duration : 12 hours to complete the course

Content of Operations Research (2): Optimization Algorithms

Operations Research (2)_ Optimization Algorithms

Requirements

  • For learners who have already taken basic operations research courses. Experience with calculus, linear algebra, and probability is suggested.

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Operations Research (2)_ Optimization Algorithms

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Subtitle : English

Quality: 720p

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