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Published in 2020 at "Computational Optimization and Applications"
DOI: 10.1007/s10589-019-00129-2
Abstract: This paper deals with a new variant of the inexact restoration method of Fischer and Friedlander (Comput Optim Appl 46:333–346, 2010) for nonlinear programming. We propose an algorithm that replaces the monotone line search performed…
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Keywords:
restoration method;
inexact restoration;
non monotone;
nonlinear programming ... See more keywords
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Published in 2017 at "Optimization"
DOI: 10.1080/02331934.2016.1263629
Abstract: Abstract In this work, we present an algorithm for solving constrained optimization problems that does not make explicit use of the objective function derivatives. The algorithm mixes an inexact restoration framework with filter techniques, where…
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Keywords:
inexact restoration;
derivative free;
objective function;
filter ... See more keywords
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Published in 2023 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3196636
Abstract: This article presents a feasible sequential convex programming method to solve the multistage ascent trajectory optimization problem. The proposed method is based on the inexact restoration technique, in which a more feasible intermediate iterate is…
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Keywords:
convex;
inexact restoration;
sequential convex;
method ... See more keywords
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Published in 2022 at "Axioms"
DOI: 10.3390/axioms12010038
Abstract: We study the convergence properties of SIRTR, a stochastic inexact restoration trust-region method suited for the minimization of a finite sum of continuously differentiable functions. This method combines the trust-region methodology with random function and…
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Keywords:
convergence properties;
region method;
convergence;
inexact restoration ... See more keywords