Results 31 to 40 of about 24,142 (134)
Numerical Simulation of One-Phase Flow to Multi-Stage Hydraulically Fractured Horizontal Well [PDF]
Учёные записки Казанского университета: Серия Физико-математические науки, 2016 This paper presents a method of numerical simulation of one-phase flow near multi-stage fractured horizontal well in oil reservoir. Differential models for flows within reservoir and within fractures are formulated separately on the basis of Darcy's law.
M.R. Khamidullin
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A preconditioned AOR iterative scheme for systems of linear equations with L-matrics
Open Mathematics, 2019 In this paper we investigate theoretically and numerically the new preconditioned method to accelerate over-relaxation (AOR) and succesive over-relaxation (SOR) schemes, which are used to the large sparse linear systems.
Wang Hongjuan
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Applied Sciences, 2021 Although many families of integration methods have been successfully developed with desired numerical properties, such as second order accuracy, unconditional stability and numerical dissipation, they are generally implicit methods.
Veerarajan Selvakumar, Shuenn-Yih Chang
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Вестник Дагестанского государственного технического университета: Технические науки, 2023 Objective. The purpose of this study was to create new pre-fabricated membrane-rod structures and non-linear methods for their calculation.Method. A stepwise method with an iterative numerical Euler-Cauchy procedure of the third order of accuracy was ...
A. Yu. Kim, S. V. Polnikov, M. F. Amoyan
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Jurnal Theorems (The Original Research of Mathematics)Iterative methods provide an efficient approach for solving large-scale systems of linear equations. This study aims to analyze the convergence and efficiency of the Gauss-Seidel method in solving linear systems through Maple-based implementation ...
Nahdia Tuzzaro +2 more
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Krylov Subspace Solvers and Preconditioners
ESAIM: Proceedings and Surveys, 2018 In these lecture notes an introduction to Krylov subspace solvers and preconditioners is presented. After a discretization of partial differential equations large, sparse systems of linear equations have to be solved.
Vuik C.
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Gamification and Augmented RealityIntroduction: The methodological work aimed to enhance teachers' pedagogical preparation to optimize the teaching-learning process, focusing on improving Curriculum E of Computer Science, specifically in the Numerical Mathematics course. Methods: An instructional methodological class was designed based on previous research conducted at the Faculty of ...
Damian Valdés Santiago +1 more
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Parallel multigrid method for solving inverse problems
MethodsX, 2022 We considered in this work the linear operator equation and used the Landweber iterative method as an iterative solver. After that, we used the multigrid method as an optimization method for obtaining an approximation solution with a highly accurate and ...
H.K. Al-Mahdawi +5 more
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Two New Efficient Iterative Regularization Methods for Image Restoration Problems
Abstract and Applied Analysis, 2013 Iterative regularization methods are efficient regularization tools for image restoration problems. The IDR(s) and LSMR methods are state-of-the-arts iterative methods for solving large linear systems. Recently, they have attracted considerable attention.
Chao Zhao +3 more
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OpenFOAM iterative methods efficiency analysis for linear systems solving
Труды Института системного программирования РАН, 2018 Significant part of the computational work in numerical simulations of technical systems, physical phenomena and technological processes is solving of linear algebraic equations systems arising from the discretization of the corresponding differential or
I. K. Marchevsky, V. V. Puzikova
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