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

Operations Research (2)_ Optimization Algorithms

Description

Operations Research (2): Optimization Algorithms, the training course in Operations Research (2): Optimization Algorithms is published by Coursera Academy. 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. This series of courses consists of three parts, we focus on deterministic optimization techniques which are a major part of OR field. As the second part of this series, we study some efficient algorithms for solving linear programs, integer programs, and nonlinear programs.

We also introduce computer implementations for solving various programs, integer programs and non-linear programs, and as a result, an example of the application of the algorithm will be discussed. In the first part, we give a quick overview of some basic knowledge of linear algebra, including Gaussian elimination, Gauss-Jordan elimination, and the definition of linear independence. Complex linear programs were difficult to solve until Dr. George Dantzig developed the simplex method. In the next part, we first introduce the standard form and basic solutions of a linear program. We focus on the simplex method and examine how it efficiently solves a linear program. Finally, we discuss some properties of unbounded and unreachable problems that can help us determine whether a problem has an optimal solution or not.

What you will learn

  • You will learn how to use algorithms to solve different types of optimization problems.
  • You will learn how to use the Gurobi solver with Python to effectively solve these problems.

Operations Research course specifications (2): Optimization Algorithms

  • Publisher: Coursera
  • teacher : Ling-Chieh Kung
  • English language
  • Education level: Intermediate
  • Number of courses: 6
  • Training duration: 12 hours to complete the course

Chapters of the Operations Research course (2): Optimization Algorithms

Course prerequisites

  • 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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