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Published in 2021 at "Optics Communications"
DOI: 10.1016/j.optcom.2021.126953
Abstract: Abstract The stochastic parallel gradient descent (SPGD) algorithm is one of the promising approaches for performing an efficient coherent beam combining (CBC) for power-scaling of the fiber lasers. However, this algorithm likewise suffers from certain…
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Keywords:
convergence speed;
coherent;
theory admspgd;
fiber laser ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3130933
Abstract: These days, a sizable number of meta-heuristic algorithms are utilized to address many problems with numerous variables and huge complexity. One of the most popular swarm intelligence-based meta-heuristic methods is the chimp optimization algorithm inspired…
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Keywords:
optimization algorithm;
optimization;
chimp optimization;
weighted chimp ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3169618
Abstract: The three-phase DSTATCOM is prone to higher dynamics due to grid disturbances. The proportionate affine projection algorithm (PAPA) is an adaptive filter that can be used for DSTATCOM control. In order to overcome the sluggish…
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Keywords:
convergence speed;
affine projection;
proportionate affine;
convergence ... See more keywords
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Published in 2022 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2021.3059748
Abstract: Recently, an extremum-seeking control (ESC) approach has been developed for optimization of generically time-varying steady-state responses of nonlinear systems. A generic filter structure was introduced, the so-called dynamic cost function, which has been instrumental in…
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Keywords:
convergence speed;
time varying;
time;
varying steady ... See more keywords
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Published in 2025 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2025.3577386
Abstract: This article investigates the effect of irrational behaviors on the expected convergence speed to the Nash equilibrium (NE) set within the log-linear learning (LLL) model. First, a significant augmentation for the classical LLL model is…
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Keywords:
log linear;
linear learning;
expected convergence;
convergence speed ... See more keywords
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Published in 2024 at "International Journal of Economic Theory"
DOI: 10.1111/ijet.12408
Abstract: This paper studies the effect of factor substitution on long‐run growth and the convergence speed in the one‐sector endogenous‐growth model. We consider a general production function that encompasses the most commonly used specifications as particular…
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Keywords:
run growth;
growth convergence;
long run;
convergence speed ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10165698
Abstract: In this paper, we propose a generalisation of the Method of Successive Averages (MSA) for solving traffic assignment problems. The generalisation consists in proposing a different step sequence within the general MSA framework to reduce…
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Keywords:
traffic assignment;
traffic;
methodology;
convergence speed ... See more keywords
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Published in 2025 at "Mathematics"
DOI: 10.3390/math13020213
Abstract: American options have long received considerable attention in the literature, with numerous publications dedicated to their pricing. Bermudan and randomized Bermudan options are broadly used to estimate their prices efficiently. Notably, the penalty method yields…
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Keywords:
convergence speed;
bermudan;
randomized bermudan;
bermudan randomized ... See more keywords
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Published in 2018 at "Engineering Journal"
DOI: 10.4186/ej.2018.22.4.177
Abstract: The aim of this paper is twofold: to propose the model of artificial prediction markets that capture the characteristics of real prediction markets and to study the impact of key parameters on the performance of…
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Keywords:
designing prediction;
prediction markets;
prediction;
convergence speed ... See more keywords