Exponential mean-square stability properties of stochastic linear multistep methods
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1572-9044
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Exponential mean-square stability properties of stochastic linear multistep methods ; volume:47 ; number:4 ; day:26 ; month:7 ; year:2021 ; pages:1-14 ; date:8.2021
Advances in computational mathematics ; 47, Heft 4 (26.7.2021), 1-14, 8.2021
- Creator
-
Buckwar, Evelyn
D’Ambrosio, Raffaele
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10444-021-09879-2
- URN
-
urn:nbn:de:101:1-2022011120535667255080
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:27 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Buckwar, Evelyn
- D’Ambrosio, Raffaele
- SpringerLink (Online service)
Other Objects (12)
Mean-square convergence of stochastic multi-step methods with variable step-size
Mean-square exponential input-to-state stability of stochastic inertial neural networks
Mean-square exponential stability of fuzzy stochastic BAM networks with hybrid delays
Mean square exponential stability of stochastic function differential equations in the G-framework
Exponential mean-square stability of numerical solutions for stochastic delay integro-differential equations with Poisson jump
Mean-square exponential input-to-state stability of stochastic quaternion-valued neural networks with time-varying delays
Mean square stability for discrete linear stochastic systems
ON THE EXPONENTIAL MEAN
Mean square approximation for stochastic differential equations with small noises
Mean-square heterogeneous synchronization of interdependent networks with stochastic disturbances
Analyzing Sumability in Mean Square for Stochastic Difference Equations via Lyapunov Methods
Exponential families of stochastic processes
Mean-square convergence of stochastic multi-step methods with variable step-size
Mean-square exponential input-to-state stability of stochastic inertial neural networks
Mean-square exponential stability of fuzzy stochastic BAM networks with hybrid delays
Mean square exponential stability of stochastic function differential equations in the G-framework
Exponential mean-square stability of numerical solutions for stochastic delay integro-differential equations with Poisson jump
Mean-square exponential input-to-state stability of stochastic quaternion-valued neural networks with time-varying delays
Mean square stability for discrete linear stochastic systems
ON THE EXPONENTIAL MEAN
Mean square approximation for stochastic differential equations with small noises
Mean-square heterogeneous synchronization of interdependent networks with stochastic disturbances
Analyzing Sumability in Mean Square for Stochastic Difference Equations via Lyapunov Methods
Exponential families of stochastic processes
Mean-square convergence of stochastic multi-step methods with variable step-size
Mean-square exponential input-to-state stability of stochastic inertial neural networks
Mean-square exponential stability of fuzzy stochastic BAM networks with hybrid delays
Mean square exponential stability of stochastic function differential equations in the G-framework
Exponential mean-square stability of numerical solutions for stochastic delay integro-differential equations with Poisson jump
Mean-square exponential input-to-state stability of stochastic quaternion-valued neural networks with time-varying delays
Mean square stability for discrete linear stochastic systems
ON THE EXPONENTIAL MEAN
Mean square approximation for stochastic differential equations with small noises
Mean-square heterogeneous synchronization of interdependent networks with stochastic disturbances
Analyzing Sumability in Mean Square for Stochastic Difference Equations via Lyapunov Methods