Numerical Optimization

CME304

Stanford School of Engineering


Thumbnail

Description

The strategic application of algorithm principles towards linear and nonlinear problems is needed to effectively optimize software in industry. Specific computational methodology will be used to solve these problems within a practical and theoretical context.

Learn to solve real world problems using the power of mathematical algorithm properties.

Topics Include

  • Linear programming
  • Quadratic programming
  • Global optimization
  • Solution of nonlinear equations
  • General linearly and nonlinearly constrained optimization

Grading

  • Homework (4)
  • Project
  • Final Exam

The project will involve coding an optimization algorithm. Students also have the option to define their project.

Prerequisites

Background in analysis and numerical linear algebra

Thank you for your interest. The course you have selected is not open for enrollment. Please click the button below to receive an email when the course becomes available again.

Request Information