Direct Search Algorithms for Nonlinear Optimization

Authors

Mark Abramson, Brigham Young UniversityFollow

Files

Description

Areas of Research • Increase efficiency by reducing the number of Poll points • Decomposition approaches for problems with more than 50 variables • Extending algorithm to problems with random noise • Extending to problems in which some derivative information is available • Extending to multifidelity problems • Applications to engineering problems

Publication Date

8-2015

Publisher

Research Networking Conference

City

Provo

Keywords

Optimization, Numerical analysis

Recommended Citation

Abramson, Mark, "Direct Search Algorithms for Nonlinear Optimization" (2015). BYU Research Development Office Research Networking Conference. 7.
https://scholarsarchive.byu.edu/researchnetworking/7