Results 91 to 100 of about 1,753,142 (356)

A Family of Arbitrary High-Order Iterative Methods for Approximating Inverse and the Moore–Penrose Inverse

open access: yesCommunications in Advanced Mathematical Sciences, 2020
In this work, a family of iterative algorithms for approximating the inverse of a square matrix and the Moore-Penrose inverse of a non-square one is proposed.
Esmaeil Kokabifar
doaj   +1 more source

A Robust Iterative Unfolding Method for Signal Processing

open access: yes, 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
core   +1 more source

Randomized Iterative Methods with Alternating Projections [PDF]

open access: yesarXiv, 2017
We use a unified framework to summarize sixteen randomized iterative methods including Kaczmarz method, coordinate descent method, etc. Some new iterative schemes are given as well. Some relationships with \textsc{mg} and \textsc{ddm} are also discussed.
arxiv  

An approach for coherent periodogram averaging of tilt‐series data for improved contrast transfer function estimation

open access: yesFEBS Open Bio, EarlyView.
The contrast transfer function (CTF) is an imaging aberration that is a major resolution‐limiting factor in cryo‐electron microscopy (cryo‐EM). Precise CTF estimation is key to overcoming this limitation, but is particularly challenging in cryo‐electron tomography (cryo‐ET) data. Here, we present an approach for using geometric information to assist in
Sagar Khavnekar, William Wan
wiley   +1 more source

An Efficient Sixth-Order Newton-Type Method for Solving Nonlinear Systems

open access: yesAlgorithms, 2017
In this paper, we present a new sixth-order iterative method for solving nonlinear systems and prove a local convergence result. The new method requires solving five linear systems per iteration.
Xiaofeng Wang, Yang Li
doaj   +1 more source

A generalized ADI iterative method

open access: yesNumerische Mathematik, 1993
The ADI iterative method for the solution of Sylvester's equationAX?XB=C proceeds by strictly alternating between the solution of the two equations $$\begin{gathered} \left( {A - \delta _{k + 1} I} \right)X_{2k + 1} = X_{2k} \left( {B - \delta _{k + 1} I} \right) + C, \hfill \\ X_{2k + 2} \left( {B - \tau _{k + 1} I} \right) = \left( {A - \tau _{k + 1}
Reichel, L., Levenberg, N.
openaire   +3 more sources

The Variational Iteration Method for Solving Asymmetric System of PDEs [PDF]

open access: yesarXiv, 2018
We propose a method to obtain iterative schemes guarantee unique solutions for systems of partial differential equations that are not symmetric with respect to the time by generalizing He variational iteration method and using Banach fixed point theorem.
arxiv  

Numerical solutions to systems of fractional Voltera Integro differential equations, using Chebyshev wavelet method

open access: yesJournal of Taibah University for Science, 2018
The Chebyshev Wavelet Method (CWM) is applied to evaluate the numerical solutions of some systems of linear fractional Voltera integro differential equations (FVIDEs).
Hassan Khan   +3 more
doaj   +1 more source

Performance analysis of control allocation using data‐driven integral quadratic constraints

open access: yesAdvanced Control for Applications, Volume 4, Issue 4, December 2022., 2022
Abstract A new method is presented for evaluating the performance of a nonlinear control allocation system within a linear control loop. To that end, a worst‐case gain analysis problem is formulated that can be readily solved by means of well‐established methods from robustness analysis using integral quadratic constraints (IQCs).
Manuel Pusch   +2 more
wiley   +1 more source

Probabilistic Linear Solvers: A Unifying View

open access: yes, 2018
Several recent works have developed a new, probabilistic interpretation for numerical algorithms solving linear systems in which the solution is inferred in a Bayesian framework, either directly or by inferring the unknown action of the matrix inverse ...
Bartels, Simon   +3 more
core   +1 more source

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