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
Course Page
Price
$4,056.00
Subject to change
Delivery
Online, instructor-led
Level
Introductory
Commitment
10 weeks, 9-15 hrs/week
Credit
Data, Models and Optimization Graduate Certificate
Electrical Engineering Graduate Certificate
School
Stanford School of Engineering
Language
English