Results 1 to 10 of about 2,972 (267)
Abstract and Applied Analysis, 2014 The convergence of the split-step backward Euler (SSBE) method applied to stochastic differential equation with variable delay is proven in Lp-sense.
Qian Guo, Xueyin Tao
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Analysis of Backward Euler Primal DPG Methods [PDF]
Computational Methods in Applied Mathematics, 2021 Abstract We analyze backward Euler time stepping schemes for a primal DPG formulation of a class of parabolic problems. Optimal error estimates are shown in a natural norm and in the L 2
Thomas Führer +2 more
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Feedback linearization of discrete-time nonlinear control systems: computational aspects [PDF]
Proceedings of the Estonian Academy of Sciences, 2020 An alternative solution of the static state feedback linearization problem for the discrete-time case is given. This solution is based on the sequence of distributions, whose computation requires only the knowledge of the backward shift equations.
Tanel Mullari, Ülle Kotta
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Exponential Euler and backward Euler methods for nonlinear heat conduction problems
Keldysh Institute Preprints, 2023 In this paper a variant of nonlinear exponential Euler scheme is proposed for solving nonlinear heat conduction problems. The method is based on nonlinear iterations where at each iteration a linear initial-value problem has to be solved. We compare this method to the backward Euler method combined with nonlinear iterations.
Mikhail Aleksandrovich Botchev +1 more
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Fluids, 2023 In this work we investigate the effectiveness of the Backward Euler-Backward Differentiation Formula (BE-BDF2) in solving unsteady compressible inviscid and viscous flows.
Alessandra Nigro
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A New Trajectory Tracking Algorithm for Autonomous Vehicles Based on Model Predictive Control
Sensors, 2021 Trajectory tracking is a key technology for precisely controlling autonomous vehicles. In this paper, we propose a trajectory-tracking method based on model predictive control.
Zhejun Huang +6 more
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Error estimates of the backward Euler–Maruyama method for multi-valued stochastic differential equations [PDF]
BIT Numerical Mathematics, 2021 AbstractIn this paper we derive error estimates of the backward Euler–Maruyama method applied to multi-valued stochastic differential equations. An important example of such an equation is a stochastic gradient flow whose associated potential is not continuously differentiable but assumed to be convex. We show that the backward Euler–Maruyama method is
Monika Eisenmann +3 more
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Mathematics, 2022 The stability analysis of the numerical solutions of stochastic models has gained great interest, but there is not much research about the stability of stochastic pantograph differential equations.
Amr Abou-Senna, Boping Tian
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Composite Backward Differentiation Formula for the Bidomain Equations
Frontiers in Physiology, 2020 The bidomain equations have been widely used to model the electrical activity of cardiac tissue. While it is well-known that implicit methods have much better stability than explicit methods, implicit methods usually require the solution of a very large ...
Xindan Gao +2 more
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Analysis of Second Order Time Filtered Backward Euler Method for MHD Equations
Journal of Scientific Computing, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cibik, Aytekin +2 more
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