Results 21 to 30 of about 38,654 (260)
Convergence analysis of a variable metric forward–backward splitting algorithm with applications
Journal of Inequalities and Applications, 2019 The forward–backward splitting algorithm is a popular operator-splitting method for solving monotone inclusion of the sum of a maximal monotone operator and an inverse strongly monotone operator.
Fuying Cui, Yuchao Tang, Chuanxi Zhu
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SIMULATION OF FORWARD AND BACKWARD WAVES EVOLUTION OF FEW-CYCLE PULSES PROPAGATING IN AN OPTICAL WAVEGUIDE WITH DISPERSION AND CUBIC NONLINEARITY OF ELECTRONIC AND ELECTRONIC-VIBRATION NATURE [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2015 Numerical method for calculation of forward and backward waves of intense few-cycle laser pulses propagating in an optical waveguide with dispersion and cubic nonlinearity of electronic and electronic-vibration nature is described.
L. S. Konev +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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Improved Power Flow Algorithm for Distributed Ring Network Based on Loop Analysis
发电技术, 2020 In order to improve the ability of clean energy consumption and the reliability of power supply, distribution network operation is attracting more and more attention.
Si GU, Xiao SUN, Chang MA, Jing CHEN
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A Forward-Backward Single-Source Shortest Paths Algorithm [PDF]
SIAM Journal on Computing, 2013 We describe a new forward-backward variant of Dijkstra's and Spira's Single-Source Shortest Paths (SSSP) algorithms. While essentially all SSSP algorithm only scan edges forward, the new algorithm scans some edges backward. The new algorithm assumes that edges in the outgoing and incoming adjacency lists of the vertices appear in non-decreasing order ...
David Bruce Wilson, Uri Zwick
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Forward–Backward Greedy Algorithms for Atomic Norm Regularization [PDF]
IEEE Transactions on Signal Processing, 2015 In many signal processing applications, the aim is to reconstruct a signal that has a simple representation with respect to a certain basis or frame. Fundamental elements of the basis known as "atoms" allow us to define "atomic norms" that can be used to formulate convex regularizations for the reconstruction problem. Efficient algorithms are available
Nikhil Rao 0001 +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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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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