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dc.contributor.authorVelazquez, Leticia
Phillips, George
Tapia, Richard
Zhang,Yin
dc.date.accessioned 2018-06-18T17:47:34Z
dc.date.available 2018-06-18T17:47:34Z
dc.date.issued 1999-09
dc.identifier.citation Velazquez, Leticia, Phillips, George, Tapia, Richard, et al.. "Selective Search for Global Optimization of Zero or Small Residual Least-Squares Problems: A Numerical Study." (1999) http://hdl.handle.net/1911/101925.
dc.identifier.urihttp://hdl.handle.net/1911/101925
dc.description.abstract In this paper, we consider searching for global minima of zero or small residual, nonlinear least-squares problems. We propose a selective search approach based on the concept of selective minimization recently introduced in Zhang et al[14]. To test the viability of the proposed approach, we construct a simple implementation using a Levenberg-Marquardt type method combined with a multi-start scheme, and compare it with several existing global optimization techniques. Numerical experiments were performed on zero residual nonlinear least-squares problem chosen from structural biology applications as well as from the literature. On the problems of larger sizes, the performance of the new approach compared favorably with the other tested methods, indicating that the new approach is promising for the intended class of problems.
dc.format.extent 17 pp
dc.title Selective Search for Global Optimization of Zero or Small Residual Least-Squares Problems: A Numerical Study
dc.type Technical report
dc.date.note September 1999
dc.identifier.digital TR99-20
dc.type.dcmi Text


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