Results 231 to 240 of about 166,325,679 (283)
Optimal Chemotherapy Scheduling for Chronic Lymphocytic Leukemia Under Immune and Allergy Constraints. [PDF]
Abdullah R, Halanay A, Abou Orm L.
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A two-step iterative framework for signal and image deblurring using G-I-Nonexpansive Mappings. [PDF]
Yolacan E.
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Convergence of numerical methods for fuzzy differential equations
Journal of Intelligent & Fuzzy Systems, 2020In this paper, semi-implicit and implicit Euler schemes for homogeneous fuzzy differential equations with perturbation term reflected by Liu process are introduced. As to the application with implicit term in numerical scheme, we must make the result gradually explicit by iterative method.
Yan Cheng, Cuilian You
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A General Theory of Convergence for Numerical Methods
SIAM Journal on Numerical Analysis, 1972The concepts of convergence, consistency and stability are given very general definitions that are applicable to any numerical computation. The main feature of these definitions is the treatment of truncation error and rounding error as special cases of the unifying concept of a perturbation.
Chartres, Bruce, Stepleman, Robert
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Convergence and stability of a numerical method for micromagnetics
Numerische Mathematik, 2009This paper studies convergence and stability of a numerical method for micromagnetics, which applies a nonconforming finite element method and an artificial boundary method to a multiatomic Young measure relaxation model. Through considering the convex-hull relaxation of the problem \[ \begin{aligned} &\min_{m\in A} E(m),\\ &\text{with }\quad E(m ...
Zhiping Li, Xianmin Xu
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The Convergence of Semi-Implicit Numerical Methods
2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 2019Rapid development of semi-implicit and semi-explicit integration techniques allowed to create relatively stable and efficient extrapolation and composition ODE solvers. However, there are several shortcomings in semi-implicit approach that should be taken into consideration while solving non-Hamiltonian systems.
Aleksandra V. Tutueva +4 more
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Approximately Globally Convergent Numerical Method
2012In this chapter, we present our approximately globally convergent numerical method for a multidimensional CIP for a hyperbolic PDE. This method also works for a similar CIP for a parabolic PDE. The numerical method of the current chapter addresses the first central question of this book (Sect. 1.1). The first publication about this method was [24] with
Larisa Beilina, Michael Victor Klibanov
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Projection Method I: Convergence and Numerical Boundary Layers
SIAM Journal on Numerical Analysis, 1995The authors present projection methods applied to the viscous incompressible flow calculations. This paper is devoted to the explicit characterization of the numerical boundary layers. The convergence and optimal error estimates for both velocity and pressure up to boundary are given.
E, Weinan, Liu, Jian-Guo
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A Globally Convergent Numerical Method for a Coefficient Inverse Problem
SIAM Journal on Scientific Computing, 2008A new globally convergent numerical method is developed for a multidimensional coefficient inverse problem for a hyperbolic PDE with applications in acoustics and electromagnetics. On each iterative step the Dirichlet boundary value problem for a second-order elliptic equation is solved.
Larisa Beilina, Michael V. Klibanov
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