Results 31 to 40 of about 29,876 (304)

Multiple-sets split feasibility problem and split equality fixed point problem for firmly quasi-nonexpansive or nonexpansive mappings

open access: yesJournal of Inequalities and Applications, 2021
In this paper, we propose a new iterative algorithm for solving the multiple-sets split feasibility problem (MSSFP for short) and the split equality fixed point problem (SEFPP for short) with firmly quasi-nonexpansive operators or nonexpansive operators ...
Tongxin Xu, Luoyi Shi
doaj   +1 more source

Convergence analysis of an iterative algorithm for the extended regularized nonconvex variational inequalities

open access: yesJournal of Inequalities and Applications, 2017
In this paper, we suggest and analyze a new system of extended regularized nonconvex variational inequalities and prove the equivalence between the aforesaid system and a fixed point problem.
Ying Zhao, Luoyi Shi, Rudong Chen
doaj   +1 more source

Fast iterative solvers for PDE-constrained optimization problems

open access: yes, 2013
In this thesis, we develop preconditioned iterative methods for the solution of matrix systems arising from PDE-constrained optimization problems. In order to do this, we exploit saddle point theory, as this is the form of the matrix systems we wish to ...
Pearson, John W
core   +1 more source

Live Iterative Ptychography with Projection-Based Algorithms

open access: yesICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
In this work, we demonstrate that the ptychographic phase problem can be solved in a live fashion during scanning, while data is still being collected. We propose a generally applicable modification of the widespread projection-based algorithms such as Error Reduction (ER) and Difference Map (DM).
Welker, Simon   +3 more
openaire   +4 more sources

On the rate of convergence of iterated Bregman projections and of the alternating algorithm [PDF]

open access: yesJournal of Mathematical Analysis and Applications, 2020
We study the alternating algorithm for the computation of the metric projection onto the closed sum of two closed subspaces in uniformly convex and uniformly smooth Banach spaces. For Banach spaces which are convex and smooth of power type, we exhibit a condition which implies linear convergence of this method.
Christian Bargetz, Emir Medjic
openaire   +3 more sources

Learning Incoherent Dictionaries for Sparse Approximation Using Iterative Projections and Rotations [PDF]

open access: yes, 2013
Copyright 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating ...
Barchiesi, D   +3 more
core   +1 more source

Efficient Overdetermined Independent Vector Analysis Based on Iterative Projection with Adjustment

open access: yes, 2023
In this paper, a computationally efficient optimization algorithm for independent vector analysis (IVA) is proposed to accelerate iterative convergence speed and enhance the overdetermined convolutive blind speech separation performance.
Li Feng   +3 more
core   +1 more source

Iterative Cosparse Projection Algorithms For The Recovery Of Cosparse Vectors

open access: yes, 2011
Publication in the conference proceedings of EUSIPCO, Barcelona, Spain ...
Giryes, Raja   +3 more
openaire   +4 more sources

Analytical Low-Dose CBCT Reconstruction Using Non-local Total Variation Regularization for Image Guided Radiation Therapy

open access: yesFrontiers in Oncology, 2020
Purpose: Conventional iterative low-dose CBCT reconstruction techniques are slow and tend to over-smooth edges through uniform weighting of the image penalty gradient.
James J. Sohn   +6 more
doaj   +1 more source

Iterative projection algorithms for solving inverse problems [PDF]

open access: yesOceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492), 2004
Inverse problems abound in the ocean sciences, as they do in almost every area of science and technology. Solutions to inverse problems are notoriously difficult, computationally expensive, and noise sensitive. Iterative projection algorithms have proved to be particularly useful for solving some image reconstruction problems with incomplete data ...
openaire   +1 more source

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