Optimization Algorithms 2023-11 – Downloadly

Descriptions

Operations Research (2): optimization algorithms, Operations Research (OR) is an area in which people use mathematical and engineering methods to investigate optimization problems in business and management, economics, computer science, civil engineering, electrical engineering, etc. The The course series consists of three parts. We focus on deterministic optimization techniques, which are an important part of the OR area. As In the second part of the series, we examine some efficient algorithms for solving linear programs, integer programs, and nonlinear programs. We In addition, the basic computer implementation for solving various programs, integer programs and nonlinear programs is presented and thus an example of the application of algorithms is discussed. we Briefly introduce the course and give a brief overview of some basic linear algebra, including Gaussian elimination, Gauss-Jordan elimination, and the definition of linear independence. Complicated linear Programs was difficult to solve until Dr. George Dantzig developed the Simplex method. This week we first introduce the standard form and basic solutions of a linear program. With the above ideas in mind, we will focus on the Simplex method and examine how it efficiently solves a linear program. Finally, we will discuss some properties of unconstrained and unsolvable problems that can help us figure out if a problem has an optimal solution.

What you will learn

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

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

Specificity of Operations Research (2): Optimization algorithms

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

Contents of Operations Research (2): Optimization algorithms

Operations Research (2)_ Optimization algorithms

Requirements

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

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Operations Research (2)_ Optimization algorithms

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