Results 251 to 260 of about 83,156,277 (277)
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2019
In this thesis efficient implicit numerical methods are constructed for solving stochastic differential equations and numerical simulations are presented for stochastic models in environmental modelling and mathematical finance. Two types of stochastic differential equations are discussed in this thesis: Itô and Stratonovich.
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In this thesis efficient implicit numerical methods are constructed for solving stochastic differential equations and numerical simulations are presented for stochastic models in environmental modelling and mathematical finance. Two types of stochastic differential equations are discussed in this thesis: Itô and Stratonovich.
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A class of numerical methods for stiff systems of ordinary differential equations
1987Summary: We propose a class of second derivative multistep methods suitable for the approximate numerical integration of stiff systems of first order ordinary differential equations. In the case \(K=1\), we obtain a class of fifth order L-stable method. In the case \(K=2\), we obtain an eight order stiff-stable method.
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Comparison of Numerical Methods for Stiff Differential Equations in Biology and Chemistry
SIMULATION, 1982Gottwald, Björn A., Wanner, Gerhard
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A Class of Numerical Methods of High Order for Stiff Problems in Ordinary Differential Equations
IMA Journal of Applied Mathematics, 1978Visnak, K., Kubicek, M.
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Communications on Applied Nonlinear Analysis
In this paper, chemical kinetics, electrical circuits, and spring-damping systems, stiff differential equations are specialized initial value issues. Numerical methods are needed for accurate computations because most practical stiff systems lack analytical solutions because to their complexity.
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In this paper, chemical kinetics, electrical circuits, and spring-damping systems, stiff differential equations are specialized initial value issues. Numerical methods are needed for accurate computations because most practical stiff systems lack analytical solutions because to their complexity.
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Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2003
J R Cash
exaly
J R Cash
exaly

