Linear Programming basics 2023

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Linear Programming basics 2023 (Free Udemy Course)

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Linear Programming basics 2023 (Free Udemy Course) : Number 1 linear programming course. Learn the simplex method, duality and sensitivity analysis for linear program.

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What you’ll learn in Linear Programming basics 2023 Course

  • Describe what a linear program is.
  • Solve a linear program using graphical and simplex methods.
  • Compute the dual of the given linear program.
  • Use the primal and dual values to prove optimality or infeasibility of the given linear program..
  • Compute how the solution value changes under minor modification of the given linear program.

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Linear Programming basics 2023 Course Includes

  • 3 hours on-demand video
  • 5 articles
  • 4 downloadable resources
  • Access on mobile and TV
  • Full lifetime access
  • Certificate of completion

Requirement of Linear Programming basics 2023 Crash Course

  • Basic knowledge of linear algebra is required to understand various proofs presented.
  • No programming experience needed.

Description

  • Linear programming is a widely used optimization tool in various applications (data science, engineering, transportation, supply chain, etc.). Linear programming also makes the basic foundation behind complex optimization tools like Mixed Integer Linear Programming (MILP) and Column generation. In this course, we will study the basic theoretical concepts related to linear programming.
  • The course is organized as follows. In the first section, we will introduce linear programming, and we will explore the convexity and types of optimalities. Then, in the second section, we will build up on the basics to learn ways to solve the linear program using the simplex method. We will then explore the concept of linear programming duality. We will also go through some of the hardest-to-understand concepts like strong duality, complementary slackness, and Farkas’ lemma. Furthermore, we try to understand these concepts in an easy-to-follow way. This allows one to obtain lower bounds on the minimization problem and provide proof of optimality or Infeasibility. In the last section, we will explore how to perform sensitivity analysis (the effects of changing parts of a linear program). At the end of each section, there are assignments to help you evaluate your knowledge.
  • As you would have noticed, this course doesn’t explore modeling optimization problems as a linear program much. That is a separate topic and deserves an entire course on it.
  • A background in basic linear algebra is needed to understand the proofs. In case you face trouble with any of the lectures or assignments, feel free to reach out to me. I am always eager to help students. You can also schedule office hours from my website once a week (first come, first served) to clear your doubts.

Who this course is for :

  • Students and professionals working with optimization and artificial intelligence.

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How to Get this course FREE?

Price & Validity

Actual Price : Rs.2299/-
After 100% Discount : Rs.0/-

Valid for First 1000 Users or till the last date. Hurry up before it closes

Apply this Coupon : LPDEC2023FREE (For 100% Discount)

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Note : Udemy Courses listed here are offered FREE only for first 1000 users or are limited by a date. If the 1000 users limit or last date is completed, the course becomes paid.

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