Decoupling Linear and Nonlinear Regimes: An Evaluation of Efficiency for Nonlinear Multidimensional Optimization
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
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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.
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Faculty Mentor: Dr. Balša Terzic