Results 41 to 50 of about 247,062 (282)
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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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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Generalized Forward-Backward Splitting
, 2012 This paper introduces the generalized forward-backward splitting algorithm for minimizing convex functions of the form $F + \sum_{i=1}^n G_i$, where $F$ has a Lipschitz-continuous gradient and the $G_i$'s are simple in the sense that their Moreau ...
Bricen͂o-Arias L. M. +12 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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A genetic algorithm for scheduling multimode resource-constrained project problem in the presence of preemptive resources [PDF]
Journal of Project Management, 2019 In this paper, a backward approach is proposed for maximizing net present value (NPV) in multi-mode resource constrained project scheduling problem while assuming discounted positive cash flows (MRCPSP-DCF). The progress payment method is used and all re-
Aidin Delgoshaei +2 more
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The Forward–Backward Algorithm and the Normal Problem [PDF]
Journal of Optimization Theory and Applications, 2018 The forward-backward splitting technique is a popular method for solving monotone inclusions that has applications in optimization. In this paper we explore the behaviour of the algorithm when the inclusion problem has no solution. We present a new formula to define the normal solutions using the forward-backward operator. We also provide a formula for
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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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Performance of the EP-MBCJR algorithm in time dispersive MIMO office environments [PDF]
, 2006 This work investigates the performance of a new reduced-complexity trellis decoding algorithm (termed the EPMBCJR algorithm) when employed for the task of equalization in an indoor multiple input multiple output wireless environment.
Andrieu, C +3 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 asynchronous, forward-backward, distributed generalized Nash equilibrium seeking algorithm [PDF]
2019 18th European Control Conference (ECC), 2019 Submitted to European Control Conference 2019 (under review)
Cenedese, Carlo +3 more
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