Decoupling Linear and Nonlinear Regimes: An Evaluation of Efficiency for Nonlinear Multidimensional Optimization

Comments

Faculty Mentor: Dr. Balša Terzic

Description/Abstract/Artist Statement

Solving a large subset of multidimensional nonlinear optimization problems can be significantly improved by decoupling their intrinsically linear and nonlinear parts. This effectively decreases the dimensionality of the problem, reduces the search space and improves the efficiency of the optimization. This decoupled approach is generalized with mathematical formalism and its superiority over standard methods empirically verified and quantified on a couple of examples involving chi-square curve fitting to data.

Presentation Type

Event

Disciplines

Physics

Location

Learning Commons @ Perry Library Conference Room 1311

Start Date

2-13-2016 9:00 AM

End Date

2-13-2016 10:00 AM

Upload File

wf_no

This document is currently not available here.

Share

COinS
 
Feb 13th, 9:00 AM Feb 13th, 10:00 AM

Decoupling Linear and Nonlinear Regimes: An Evaluation of Efficiency for Nonlinear Multidimensional Optimization

Learning Commons @ Perry Library Conference Room 1311

Solving a large subset of multidimensional nonlinear optimization problems can be significantly improved by decoupling their intrinsically linear and nonlinear parts. This effectively decreases the dimensionality of the problem, reduces the search space and improves the efficiency of the optimization. This decoupled approach is generalized with mathematical formalism and its superiority over standard methods empirically verified and quantified on a couple of examples involving chi-square curve fitting to data.