Results 241 to 250 of about 13,572,436 (276)

THE PARALLEL BLOCK ADAPTIVE MULTIGRID METHOD FOR THE IMPLICIT SOLUTION OF THE EULER EQUATIONS

International Journal for Numerical Methods in Fluids, 1996
The authors present a new block adaptive multigrid method for the computation of transonic flows. An implicit upwind cell-centered finite volume solver is used. In order to increase the accuracy of the method, the third order MUSCL approach is implemented which is based on a full multigrid solver, but instead of using global grids, locally enriched ...
Pantelelis, Nikos G., Kanarachos, Andreas E.   +1 more
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Discrete-Time Super-Twisting Fractional-Order Differentiator With Implicit Euler Method

IEEE Transactions on Circuits and Systems II: Express Briefs, 2021
This brief proposes a discrete-time fractional-order differentiator based on the super-twisting algorithm for second-order systems. The differentiator achieves higher performance with respect to the classical ones of integer order in terms of convergence time and robustness. It relaxes the classical boundedness condition required to be satisfied by the
Rahul Kumar Sharma, Xiaogang Xiong, Shyam Kamal, Sandip Ghosh   +3 more
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Error analysis of implicit Euler methods for quasilinear hyperbolic evolution equations

Numerische Mathematik, 2016
The convergence of the Euler method is studied in application for the time integration of an abstract, quasilinear hyperbolic evolution equation. Such an abstract setting includes quasilinear Maxwell's and wave equations as special cases. The analysis shows that the Euler approximations are well-posed and convergent of order one. Both the semi-implicit
Hochbruck, Marlis, Pažur, Tomislav
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Note on the Convergence of the Implicit Euler Method

2013
For the solution of the Cauchy problem for the first order ODE, the most popular, simplest and widely used method are the Euler methods. The two basic variants of the Euler methods are the explicit Euler methods EEM and the implicit Euler method IEM. These methods are well-known and they are introduced almost in any arbitrary textbook of the numerical ...
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The semi-implicit Euler method for stochastic differential delay equation with jumps

Applied Mathematics and Computation, 2007
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La-sheng Wang, Changlin Mei, Hong Xue 0002   +2 more
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Asymptotic behavior of nonlinear delay differential–algebraic equations and implicit Euler methods

Applied Mathematics and Computation, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Leping Sun, Yuhao Cong, Jiaoxun Kuang
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Differential Inversion of the Implicit Euler Method

SIAM Journal on Scientific Computing
Abstract. The implicit Euler method integrates systems of ordinary differential equations [Formula: see text] with differentiable right-hand side [Formula: see text] from an initial state [Formula: see text] to a target time [Formula: see text] as [Formula: see text].
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Implicit methods of second-order accuracy for the Euler equations

AIAA Journal, 1983
This paper presents a study of noniterative implicit finite difference methods for hyperbolic systems. New space-centered methods involving two time levels are considered. An analysis is made of various properties such as solvability, stability, dissipation, dispersion, and efficient solution of the algebraic systems.
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Application of a semi-implicit euler method to mass action kinetics

Chemical Engineering Science, 1981
Abstract A special semi-implicit form of the Euler method is presented to solve numerically stiff differential equation systems occurring in chemical reaction networks. The procedure is especially suitable for very large networks on big computers or for moderate networks on small computers, because calculation time and core-memory requirement grow ...
P.R. Preussner, K.P. Brand
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On the application of the implicit “backward Euler” method for solving the diffusion equation

Atmospheric Environment (1967), 1989
Abstract The present paper deals with numerical effects occurring in the application of the implicit (“backward Euler”) method to solve the diffusion equation in the case of a point source (i.e. singular initial data). The numerical over-estimation of the concentration at the source level as well as conditions for an over- or under-estimation of the ...
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