Results 31 to 40 of about 38,654 (260)
A block coordinate variable metric forward–backward algorithm [PDF]
Journal of Global Optimization, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chouzenoux, Emilie +2 more
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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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Convergence analysis of the stochastic reflected forward–backward splitting algorithm [PDF]
Optimization Letters, 2022 We propose and analyze the convergence of a novel stochastic algorithm for solving monotone inclusions that are the sum of a maximal monotone operator and a monotone, Lipschitzian operator. The propose algorithm requires only unbiased estimations of the Lipschitzian operator.
Van Dung Nguyen, Bang Công Vu
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Mathematics, 2023 Fixed-point theory plays many important roles in real-world problems, such as image processing, classification problem, etc. This paper introduces and analyzes a new, accelerated common-fixed-point algorithm using the viscosity approximation method and ...
Kobkoon Janngam +4 more
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Forward-Backward Algorithms Devised by Graphs
SIAM Journal on OptimizationIn this work, we present a methodology for devising forward-backward methods for finding zeros in the sum of a finite number of maximally monotone operators. We extend the framework and techniques from [SIAM J. Optim., 34 (2024), pp. 1569-1594] to cover the case involving a finite number of cocoercive operators, which should be directly evaluated ...
Francisco J. Aragón Artacho +2 more
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An Algebraic Formalization of Forward and Forward-backward Algorithms
CoRR, 2017 55 pages, in submission to ...
Ai Azuma +2 more
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Construction of Algebraic and Difference Equations with a Prescribed Solution Space
International Journal of Applied Mathematics and Computer Science, 2017 This paper studies the solution space of systems of algebraic and difference equations, given as auto-regressive (AR) representations A(σ)β(k) = 0, where σ denotes the shift forward operator and A(σ) is a regular polynomial matrix.
Moysis Lazaros, Karampetakis Nicholas P.
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Advances in Difference Equations, 2021 The forward–backward algorithm is a splitting method for solving convex minimization problems of the sum of two objective functions. It has a great attention in optimization due to its broad application to many disciplines, such as image and signal ...
Suthep Suantai +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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THE IDENTIFICATION OF DETERMINANT PARAMETER IN FOREST FIRE BASED ON FEATURE SELECTION ALGORITHMS
Jurnal Ilmiah SINERGI, 2019 This research conducts studies of the use of the Sequential Forward Floating Selection (SFFS) Algorithm and Sequential Backward Floating Selection (SBFS) Algorithm as the feature selection algorithms in the Forest Fire case study.
Devi Fitrianah, Hisyam Fahmi
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