نتایج جستجو برای: inexact

تعداد نتایج: 2911  

Journal: :Electronics 2022

Digital image blending is commonly used in applications such as photo editing and computer graphics where two images are combined to produce a desired blended image. can be by addition or multiplication, usually exact multiplication performed for blending. In this paper, we evaluate the usefulness of inexact digital Towards this, describe how an array multiplier made introducing vertical cut(s)...

In 2006, Espinola and Kirk made a useful contribution on combining fixed point theoryand graph theory. Recently, Reich and Zaslavski studied a new inexact iterative scheme for fixed points of contractive and nonexpansive multifunctions. In this paper, by using  the main idea of their work and the idea of combining fixed point theory on intuitionistic fuzzy metric spaces and graph theory, ...

Journal: :Applicationes Mathematicae 2010

Journal: :BIT Numerical Mathematics 2008

Journal: :International Journal of Approximate Reasoning 1997

Journal: :Mathematics of Computation 1999

Journal: :Optimization Methods and Software 2020

Journal: :Computational Optimization and Applications 2023

This paper considers the problem of minimizing summation a differentiable function and nonsmooth on Riemannian manifold. In recent years, proximal gradient method its variants have been generalized to setting for solving such problems. Different approaches generalize mapping lead different versions methods. However, their convergence analyses all rely exactly, which is either too expensive or i...

Journal: :SIAM J. Scientific Computing 2016
Haijian Yang Feng-Nan Hwang Xiao-Chuan Cai

The full-space Lagrange–Newton algorithm is one of the numerical algorithms for solving problems arising from optimization problems constrained by nonlinear partial differential equations. Newton-type methods enjoy fast convergence when the nonlinearity in the system is well-balanced; however, for some problems, such as the control of incompressible flows, even linear convergence is difficult t...

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