Results 11 to 20 of about 1,191,196 (272)
PHSS Iterative Method for Solving Generalized Lyapunov Equations
Mathematics, 2019 Based on previous research results, we propose a new preprocessing HSS iteration method (PHSS) for the generalized Lyapunov equation. At the same time, the corresponding inexact PHSS algorithm (IPHSS) is given from the angle of application.
Shi-Yu Li, Hai-Long Shen, Xin-Hui Shao
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Mathematics, 2020 The benefits and properties of iterative splitting methods, which are based on serial versions, have been studied in recent years, this work, we extend the iterative splitting methods to novel classes of parallel versions to solve nonlinear fractional ...
Jürgen Geiser +2 more
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Many-body effects and matrix inversion in low-Reynolds-number hydrodynamics [PDF]
, 2001 It is shown that the method of reflections in resistance form (with truncated multipoles) is one of many possible iterative methods to obtain the inverse of the mobility matrix (with the same truncation) in low-Reynolds-number hydrodynamics. Although the
Brady, John F., Ichiki, Kengo
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Approximate k-space models and Deep Learning for fast photoacoustic reconstruction [PDF]
, 2018 We present a framework for accelerated iterative reconstructions using a fast and approximate forward model that is based on k-space methods for photoacoustic tomography. The approximate model introduces aliasing artefacts in the gradient information for
Arridge, Simon +6 more
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An Improved Algorithm For The Solution of Kepler‘s Equation For An Elliptical Orbit [PDF]
Engineering and Technology Journal, 2010 In this paper, a root finding method due to iterative method is used first to thesolution of Kepler's equation for an elliptical orbit. Then the extrapolationtechnique in the form of Aitken D2 - acceleration is applied to improve theconvergence of the ...
Mohammed S. Rasheed
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Eliminating Iterations of Iterative Methods [PDF]
Proceedings of the 2021 Great Lakes Symposium on VLSI, 2021 The sparse linear solver is an important component in lots of scientific computing applications. For large-scale sparse linear systems, general-purpose processors such as CPUs and GPUs are facing challenges of high time complexity and massive data movements between processors and main memories. This work utilizes the ability of in-situ analog computing
Tao Song, Xiaoming Chen, Yinhe Han
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A Multi-Grid Iterative Method for Photoacoustic Tomography [PDF]
, 2016 Inspired by the recent advances on minimizing nonsmooth or bound-constrained convex functions on models using varying degrees of fidelity, we propose a line search multigrid (MG) method for full-wave iterative image reconstruction in photoacoustic ...
Holman, Sean, Javaherian, Ashkan
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The Four-Parameter PSS Method for Solving the Sylvester Equation
Mathematics, 2019 In order to solve the Sylvester equations more efficiently, a new four parameters positive and skew-Hermitian splitting (FPPSS) iterative method is proposed in this paper based on the previous research of the positive and skew-Hermitian splitting (PSS ...
Hai-Long Shen, Yan-Ran Li, Xin-Hui Shao
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The Application of Domain Decomposition to Time-Domain Computations of Nonlinear Water Waves with a Panel Method [PDF]
, 1996 In this paper an iterative domain decomposition method for the solution of Laplace's equation is described and its effectiveness in time-domain computations of nonlinear water waves with a panel method is investigated.
Haas, P.C.A. de, Zandbergen, P.J.
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A Robust Iterative Unfolding Method for Signal Processing [PDF]
, 2006 There is a well-known series expansion (Neumann series) in functional analysis for perturbative inversion of specific operators on Banach spaces. However, operators that appear in signal processing (e.g.
András László +9 more
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