Nonsmooth Optimization
Many problems derived from computational chemistry and biology, optimal control, and data analysis among others, lead to minimizing or maximizing nonsmooth functions. These problems are typical applications of numeric optimization algorithms. The main goal of this project is to implement and improve nonsmooth optimization algorithms inspired by the family of Spectral Projected methods, and the benchmark is known problems against other optimization algorithms.
Student Outcomes: Students will become familiar with conducting numerical experimentation, compiling results, and writing reports and papers to be presented at specialized conferences. Review background material, Create heuristics to solve undesirable numerical behaviors, Implement optimization numerical methods,
Requirements:
- Programming skills, basic knowledge of MATLAB,
- Pre-requisite: STMATH 324 and CSS 161,
- Student has to be self-motivated,
- Attend weekly meetings,
- Write reports, presentations and posters to be presented at conferences and meetings.
Schools or Related Disciplines:
Science, Technology, Engineering and Math (STEM)
STEM – Computing and Software Systems (CSS)
STEM – Engineering and Mathematics
Category: Research and Creative Projects
Time: estimated hours per week is 1hr – 3hrs
Credit/Compensation Notes: This is a volunteer or unpaid position
Contact: Milagros Loreto, Ph.D., mloreto@uw.edu
Go to project or opportunity website for more information