Results 11 to 20 of about 247,062 (282)

An Inertial Forward-Backward Algorithm for Monotone Inclusions [PDF]

open access: yesJournal of Mathematical Imaging and Vision, 2014
The final publication is available at http://link.springer ...
Lorenz, Dirk A., Pock, Thomas
openaire   +5 more sources

A Forward-Backward-Forward Algorithm for Solving Quasimonotone Variational Inequalities

open access: yesJournal of Function Spaces, 2022
In this paper, we continue to investigate the convergence analysis of Tseng-type forward-backward-forward algorithms for solving quasimonotone variational inequalities in Hilbert spaces.
Tzu-Chien Yin, Nawab Hussain
doaj   +1 more source

Forward-backward box smoothing with quantized measurements

open access: yesDianzi Jishu Yingyong, 2022
In this work, we are interested in promoting tracking accuracy of target in quantized measurements by taking the de-laying measurements into consideration. Specifically, a novel forward-backward box particle smoothing algorithm is proposed.
Sun Wen
doaj   +1 more source

A Generalization of Forward-backward Algorithm [PDF]

open access: yesTransactions of the Japanese Society for Artificial Intelligence, 2009
Structured prediction has become very important in recent years. A simple but notable class of structured prediction is one for sequences, so-called sequential labeling. For sequential labeling, it is often required to take a summation over all the possible output sequences, when estimating the parameters of a probabilistic model for instance.
Ai Azuma, Yuji Matsumoto
openaire   +2 more sources

Dynamic Network Security Analysis Based on Bayesian Attack Graphs [PDF]

open access: yesJisuanji kexue, 2022
In order to overcome the difficulties that current attack graph model cannot reflect real-time network attack events,a method is proposed including a forward risk probability update algorithm and a forward-backward combined risk probability update ...
LI Jia-rui, LING Xiao-bo, LI Chen-xi, LI Zi-mu, YANG Jia-hai, ZHANG Lei, WU Cheng-nan
doaj   +1 more source

An adaptive splitting algorithm for the sum of two generalized monotone operators and one cocoercive operator

open access: yesFixed Point Theory and Algorithms for Sciences and Engineering, 2021
Splitting algorithms for finding a zero of sum of operators often involve multiple steps which are referred to as forward or backward steps. Forward steps are the explicit use of the operators and backward steps involve the operators implicitly via their
Minh N. Dao, Hung M. Phan
doaj   +1 more source

Variable Metric Forward-Backward Algorithm for Composite Minimization Problems [PDF]

open access: yesSIAM Journal on Optimization, 2021
We present a forward-backward-based algorithm to minimize a sum of a differentiable function and a nonsmooth function, both being possibly nonconvex. The main contribution of this work is to consider the challenging case where the nonsmooth function corresponds to a sum of non-convex functions, resulting from composition between a strictly increasing ...
Audrey Repetti, Yves Wiaux
openaire   +3 more sources

Accelerated and Inexact Forward-Backward Algorithms [PDF]

open access: yesSIAM Journal on Optimization, 2013
We propose a convergence analysis of accelerated forward-backward splitting methods for composite function minimization, when the proximity operator is not available in closed form, and can only be computed up to a certain precision. We prove that the $1/k^2$ convergence rate for the function values can be achieved if the admissible errors are of a ...
VILLA, SILVIA   +3 more
openaire   +2 more sources

PENGEMBANGAN ALGORITMA PENJADUALAN PRODUKSI JOB SHOP UNTUK MEMINIMUMKAN TOTAL BIAYA EARLINESS DAN TARDINESS

open access: yesJurnal Ilmiah Teknik Industri, 2005
This paper develops job shop production scheduling using Non Delay algorithm through forward and backward-forward algorithm to minimize total earliness and tardiness costs.
Dian Retno Sari Dewi
doaj   +1 more source

Forward–Backward Greedy Algorithms for Atomic Norm Regularization [PDF]

open access: yesIEEE 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
Rao, Nikhil   +2 more
openaire   +2 more sources

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