edX
MOOC / Non-credit
0
Introduction to Optimization
About this course
A self-contained course on the fundamentals of modern optimization with equal emphasis on theory, implementation, and application. We consider linear and nonlinear optimization problems, including network flow problems and game-theoretic models in which selfish agents compete for shared resources. We apply these models to a variety of real-world scenarios.
A
82/100
CourseAsk score
- What the provider tells you
- 31/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understand and apply linear and nonlinear optimization techniques
- analyze network flow problems
- utilize game-theoretic models in resource allocation situations
Course objectives
- provide a solid foundation in optimization theory
- develop practical skills in implementing optimization solutions
- explore applications of optimization in real-world scenarios
Machine Learning
#resource allocation
#decision making
#quantitative analysis
#optimization
#linear programming
#game theory
#algorithm design
#nonlinear programming
#network flow
#math for optimization
$54.00
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