Optimization: principles and algorithms - Linear optimization
Introduction to linear optimization, duality and the simplex algorithm.
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- Level Foundation
- Duration 40 hours
- Course by École polytechnique fédérale de Lausanne
- Total students 4,251 enrolled
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About
Introduction to linear optimization, duality and the simplex algorithm.
What you will learn
The course is structured into 5 sections.
- Formulation: you will learn from simple examples how to formulate, transform and characterize an optimization problem.
- Constraints: you will learn how to represent the constraints of a linear optimization problem, both from a geometric and algebraic point of views.
- Duality: you will learn how to derive a companion problem called the "dual".
- Optimality conditions: you will learn sufficient and necessary conditions for an optimal solution.
- Simplex method: you will learn an algorithm to solve a linear optimization problem.
Skills you learn
Auto Summary
Discover the principles and techniques of linear optimization in this foundational course offered by edX. This comprehensive 40-hour program delves into the essential concepts of linear optimization, including duality and the simplex algorithm. Designed for those with an interest in Maths & Statistics, it provides a robust understanding of optimization processes and their applications. Led by expert instructors, this course is ideal for professionals seeking to enhance their analytical skills and apply optimization methods to various real-world problems. Sign up for a professional subscription to gain full access to this valuable learning opportunity.
Michel Bierlaire