Stochastic Runge-Kutta methods for multi-dimensional Itô stochastic differential algebraic equations
DOI10.1016/J.RINAM.2021.100187zbMath1480.65020OpenAlexW3199738836WikidataQ115341397 ScholiaQ115341397MaRDI QIDQ2063287
Publication date: 11 January 2022
Published in: Results in Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.rinam.2021.100187
weak convergencemean-square stabilitystochastic Runge-Kutta methodsstiffly accurateT-stabilitystochastic differential algebraic equations
Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Stability and convergence of numerical methods for ordinary differential equations (65L20) Multistep, Runge-Kutta and extrapolation methods for ordinary differential equations (65L06) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35) Numerical solutions to stochastic differential and integral equations (65C30)
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Cites Work
- A Runge-Kutta method for index 1 stochastic differential-algebraic equations with scalar noise
- Stability analysis and classification of Runge-Kutta methods for index 1 stochastic differential-algebraic equations with scalar noise
- Families of efficient second order Runge-Kutta methods for the weak approximation of Itô stochastic differential equations
- Local error estimates for moderately smooth problems. II: SDEs and SDAEs with small noise
- Numerical solution of stochastic differential-algebraic equations with applications to transient noise simulation of microelectronic circuits
- Numerical solutions of stochastic differential equations -- implementation and stability issues
- Stability analysis of high order Runge-Kutta methods for index 1 stochastic differential-algebraic equations with scalar noise
- Linear stochastic differential-algebraic equations with constant coefficients
- Runge-Kutta methods for Itô stochastic differential equations with scalar noise
- Strong and Weak Approximation Methods for Stochastic Differential Equations—Some Recent Developments
- Rooted Tree Analysis for Order Conditions of Stochastic Runge-Kutta Methods for the Weak Approximation of Stochastic Differential Equations
- Second Order Runge–Kutta Methods for Itô Stochastic Differential Equations
- Stability Analysis of Numerical Schemes for Stochastic Differential Equations
- Stochastic differential algebraic equations of index 1 and applications in circuit simulation.
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