Results 31 to 40 of about 247,062 (282)
Determination of wave intensity in flexible tubes using measured diameter and velocity [PDF]
, 2007 Wave intensity (WI) is a hemodynamics index, which is the product of changes in pressure and velocity across the wave-front. Wave Intensity Analysis, which is a time domain technique allows for the separation of running waves into their forward and ...
Feng, J, Khir, AW
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, 2020 Tseng's forward-backward-forward algorithm is a valuable alternative for Korpelevich's extragradient method when solving variational inequalities over a convex and closed set governed by monotone and Lipschitz continuous operators, as it requires in ...
Bot, Radu Ioan +2 more
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Compressed sensing reconstruction algorithm based on adaptive acceleration forward-backward pursuit
Tongxin xuebao, 2020 Aiming at the long running time problem of the traditional forward-backward pursuit (FBP) algorithm,an adaptive acceleration forward-backward pursuit (AAFBP) algorithm was proposed.The reconstruction process of AAFBP algorithm can be divided into two ...
Zuozhou PAN +3 more
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Smoothing Linear Multi-Target Tracking Using Integrated Track Splitting Filter
Remote Sensing, 2022 Multi-target tracking (MTT) is a challenging issue due to an unknown number of real targets, motion uncertainties, and coalescence behavior of sensor (such as radar) measurements.
Sufyan Ali Memon +3 more
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Backward Induction versus Forward Induction Reasoning
Games, 2010 In this paper we want to shed some light on what we mean by backward induction and forward induction reasoning in dynamic games. To that purpose, we take the concepts of common belief in future rationality (Perea [1]) and extensive form rationalizability
Andres Perea
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Forward-Backward algorithms for weakly convex problems
, 2023 We investigate the convergence properties of exact and inexact forward-backward algorithms to minimise the sum of two weakly convex functions defined on a Hilbert space, where one has a Lipschitz-continuous gradient. We show that the exact forward-backward algorithm converges strongly to a global solution, provided that the objective function satisfies
Bednarczuk, Ewa +3 more
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A Distributed Forward–Backward Algorithm for Stochastic Generalized Nash Equilibrium Seeking
IEEE Transactions on Automatic Control, 2021 We consider the stochastic generalized Nash equilibrium problem (SGNEP) with expected-value cost functions. Inspired by Yi and Pavel (Automatica, 2019), we propose a distributed GNE seeking algorithm based on the preconditioned forward-backward operator splitting for SGNEP, where, at each iteration, the expected value of the pseudogradient is ...
Barbara Franci, Sergio Grammatico
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Evaluation of vicinity-based hidden Markov models for genotype imputation
BMC Bioinformatics, 2022 Background The decreasing cost of DNA sequencing has led to a great increase in our knowledge about genetic variation. While population-scale projects bring important insight into genotype–phenotype relationships, the cost of performing whole-genome ...
Su Wang +3 more
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Mathematics, 2021 In this paper, we study a monotone inclusion problem in the framework of Hilbert spaces. (1) We introduce a new modified Tseng’s method that combines inertial and viscosity techniques. Our aim is to obtain an algorithm with better performance that can be
Nattakarn Kaewyong +1 more
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Forward-Backward-Half Forward Algorithm for Solving Monotone Inclusions [PDF]
SIAM Journal on Optimization, 2018 Tseng's algorithm finds a zero of the sum of a maximally monotone operator and a monotone continuous operator by evaluating the latter twice per iteration. In this paper, we modify Tseng's algorithm for finding a zero of the sum of three operators, where we add a cocoercive operator to the inclusion.
Briceño-Arias, Luis M., Davis, Damek
openaire +3 more sources