Optimization

Understanding applications, theories and algorithms for finite-dimensional linear and nonlinear optimization problems with continuous variables can lead to high performing design and execution. In this course, you will explore algorithms for unconstrained optimization, and linearly and nonlinearly constrained problems, used in communication, game theory, auction and economics.

Topics Include

• Convex analysis
• Duality
• First- and second-order optimality conditions
• Sensitivity