2001Unpublished venueRequires access

Combining Trust-region and Line search Algorithm for Problem of Nonlinear Constrained Optimization

Tong Xiao

Open publisher page 0 citations

Abstract

A combining trust region and line search method for optimization problem of nonlinear equality were presented.Comparing with traditional trust region method,the proposed algorithm never resolve the trust region subproblem when the trial step can not be accepted by trust region method.Numerical example is presented to compare with pure trust region method and combining method for calculation.

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What this paper is about

A combining trust region and line search method for optimization problem of nonlinear equality were presented.Comparing with traditional trust region method,the proposed algorithm never resolve the trust region subproblem when the trial step can not be accepted by trust region method.Numerical example is presented to compare with pure trust region method and combining method for calculation.

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Available abstract

A combining trust region and line search method for optimization problem of nonlinear equality were presented.Comparing with traditional trust region method,the proposed algorithm never resolve the trust region subproblem when the trial step can not be accepted by trust region method.Numerical example is presented to compare with pure trust region method and combining method for calculation.

Key concepts: Trust region, Line search, Mathematical optimization, Nonlinear system, Computer science, Line (geometry), Algorithm, Nonlinear programming

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