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Published in 2020 at "Electrical Engineering"
DOI: 10.1007/s00202-020-01106-3
Abstract: Loss minimization and voltage improvement through distributed generation (DG) planning is a well-established problem. However, a careful review of the literature shows that there is still room for the development of efficient algorithms for this…
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Keywords:
distributed generation;
allocation;
steepest descent;
descent method ... See more keywords
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Published in 2020 at "Computational Optimization and Applications"
DOI: 10.1007/s10589-019-00137-2
Abstract: We propose new restarting strategies for the accelerated coordinate descent method. Our main contribution is to show that for a well chosen sequence of restarting times, the restarted method has a nearly geometric rate of…
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Keywords:
coordinate descent;
restarting accelerated;
method;
accelerated coordinate ... See more keywords
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1
Published in 2019 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-018-1390-6
Abstract: In this paper, we propose the descent method with new inexact line-search for unconstrained optimization problems on Riemannian manifolds. The global convergence of the proposed method is established under some appropriate assumptions. We further analyze…
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Keywords:
method new;
convergence rate;
descent method;
convergence ... See more keywords
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Published in 2019 at "Numerical Algorithms"
DOI: 10.1007/s11075-019-00818-3
Abstract: For finding the minimum value of differentiable functions over a nonempty closed convex subset of a Hilbert space, the hybrid steepest descent method (HSDM) can be applied. In this work, we study perturbed algorithms in…
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Keywords:
steepest descent;
subdifferentiable functions;
hybrid steepest;
superiorization ... See more keywords
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Published in 2018 at "Optimization Letters"
DOI: 10.1007/s11590-016-1071-z
Abstract: This paper considers a distributed optimization problem encountered in a time-varying multi-agent network, where each agent has local access to its convex objective function, and cooperatively minimizes a sum of convex objective functions of the…
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Keywords:
mirror descent;
optimization;
descent method;
multi agent ... See more keywords
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Published in 2021 at "Case Studies in Thermal Engineering"
DOI: 10.1016/j.csite.2021.101056
Abstract: Abstract The high-speed motorized spindle is the core component of high-speed and high-precision machining, and its compact structure leads to internal heat accumulation and thermal deformation. Therefore, it is of great significance to control the…
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Keywords:
speed motorized;
descent method;
gradient descent;
motorized spindle ... See more keywords
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Published in 2024 at "Applicable Analysis"
DOI: 10.1080/00036811.2024.2426219
Abstract: In this paper, a steepest descent method is developed for the robust counterpart of uncertain multiobjective optimization problems under finite uncertainty. The robust counterpart under consideration is the minimum of objective wise worst case, which…
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Keywords:
multiobjective optimization;
method;
descent method;
steepest descent ... See more keywords
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Published in 2018 at "Optimization"
DOI: 10.1080/02331934.2017.1405955
Abstract: Abstract The purpose of this paper is to present an accelerated hybrid viscosity and steepest-descent method for solving proximal split feasibility problems (if solutions exist) in real Hilbert spaces. We obtain strong convergence of the…
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Keywords:
steepest descent;
hybrid viscosity;
method;
accelerated hybrid ... See more keywords
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Published in 2018 at "Optimization"
DOI: 10.1080/02331934.2018.1505885
Abstract: ABSTRACT This paper introduces the Fejér-monotone hybrid steepest descent method (FM-HSDM), a new member to the HSDM family of algorithms, for solving affinely constrained minimization tasks in real Hilbert spaces, where convex smooth and non-smooth…
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Keywords:
steepest descent;
hybrid steepest;
fej monotone;
method ... See more keywords
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3
Published in 2022 at "IEEE Journal of Emerging and Selected Topics in Power Electronics"
DOI: 10.1109/jestpe.2021.3065211
Abstract: This article presents an evaluation of a family of adaptive position estimators (APEs) for anisotropy-based self-sensing control (SSC) of permanent magnet synchronous machine (PMSM). The APEs use the gradient descent method (GDM) to minimize a…
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Keywords:
family adaptive;
descent method;
adaptive position;
position estimators ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3078756
Abstract: In this letter, a novel inversion scheme based on the supervised descent method (SDM) for the logging responses interpretation of anisotropic formations is proposed. The inversion scheme combines the characteristics of traditional gradient-based methods and…
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Keywords:
logging responses;
descent;
inversion;
descent method ... See more keywords