Results 41 to 50 of about 24,142 (134)
Technologies, 2018 Efficient full-chip thermal simulation is among the most challenging problems facing the EDA industry today, especially for modern 3D integrated circuits, due to the huge linear systems resulting from thermal modeling approaches that require unreasonably
George Floros +3 more
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A generalized preconditioned MHSS method for a class of complex symmetric linear systems
Mathematical Modelling and Analysis, 2013 Based on the MHSS (Modified Hermitian and skew-Hermitian splitting) and preconditioned MHSS methods, we will present a generalized preconditioned MHSS method for solving a class of complex symmetric linear systems.
Mehdi Dehghan +2 more
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Numerical Solution Of System Of Linear Equations By Iterative Methods
, 2017 Numerical method is the important aspects in solving real world problems that are related to mathematics, science, medicine, business are very few examples. Numerical method is the area related to mathematics and computer science which create, analysis and implements algorithm to numerically solve the system of linear equations.
openaire +2 more sources
Low-Complexity Numerical Approach for the Diffusion Equation with Variable Diffusion Coefficient
MathematicsThe diffusion equation models a wide variety of physical and chemical processes and has significant interest in many scientific disciplines. Analytical and numerical methods found in the literature for solving the diffusion equation consider a constant ...
Marta Zárraga-Rodríguez +2 more
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On Improving Computational Efficiency of Simplified Fluid Flow Models
Chemical Engineering Transactions, 2018 Single-core computational efficiency of several iterative methods for numerical solution of nonsymmetric linear systems originating from simplified fluid flow models is evaluated together with different preconditioning techniques in terms of solution ...
Vojtech Turek
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An Efficient Sixth-Order Newton-Type Method for Solving Nonlinear Systems
Algorithms, 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
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Non-stationary iterative methods for solving macroeconomic numeric models [PDF]
Informatică economică, 2006 Macroeconometric modeling was influenced by the development of new and efficient computational techniques. Rational Expectations models, a particular class of macroeconometric models, give raise to very large systems of equations, the solution of which ...
Bogdan OANCEA
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Advances in Difference Equations, 2020 We introduce an effective iterative method for solving rectangular linear systems, based on gradients along with the steepest descent optimization. We show that the proposed method is applicable with any initial vectors as long as the coefficient matrix ...
Adisorn Kittisopaporn +1 more
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Iterative methods for nonlinear equations in a coupled system: Using modified homotopy perturbation
Ain Shams Engineering JournalNonlinear equations arise in various branches of applied sciences where the real-world problems cannot be formulated accurately in linear forms. It is a fascinating and thrilling task to develop numerical methods for estimating the roots of nonlinear ...
Muhammad Saqib +5 more
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On a computer implementation of the block Gauss-Seidel method for normal systems of equations
Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2016 This article focuses on the modification of the block option Gauss-Seidel method for normal systems of equations, which is a sufficiently effective method of solving generally overdetermined, systems of linear algebraic equations of high dimensionality ...
Alexander I Bogdanova +1 more
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