Event Title

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

Student Presenter Information

Chris Cotnoir, Old Dominion University

Presentation Type

Event

Disciplines

Physics

Description/Abstract

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.

Comments

Faculty Mentor: Dr. Balša Terzic

Location

Learning Commons @ Perry Library Conference Room 1311

Start Date

13-2-2016 9:00 AM

End Date

13-2-2016 10:00 AM

Full Text of Presentation

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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.