[Stochastic Modelling and Applied Probability] Applied Probability and Queues Volume 51 || Exponential Change of Measure

[Stochastic Modelling and Applied Probab

[Stochastic Modelling and Applied Probability] Stochastic Stability of Differential Equations Volume 66 || Stability of Stochastic Differential Equations

✍ Khasminskii, Rafail 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 417 KB

Since the publication of the first edition of the present volume in 1980, the stochastic stability of differential equations has become a very popular subject of research in mathematics and engineering. To date exact formulas for the Lyapunov exponent, the criteria for the moment and almost sure sta

[Stochastic Modelling and Applied Probab

[Stochastic Modelling and Applied Probability] Stochastic Stability of Differential Equations Volume 66 || Systems of Linear Stochastic Equations

✍ Khasminskii, Rafail 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 513 KB

Since the publication of the first edition of the present volume in 1980, the stochastic stability of differential equations has become a very popular subject of research in mathematics and engineering. To date exact formulas for the Lyapunov exponent, the criteria for the moment and almost sure sta

[Stochastic Modelling and Applied Probab

[Stochastic Modelling and Applied Probability] Stochastic Stability of Differential Equations Volume 66 || Stabilization of Controlled Stochastic Systems

✍ Khasminskii, Rafail 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 233 KB

Since the publication of the first edition of the present volume in 1980, the stochastic stability of differential equations has become a very popular subject of research in mathematics and engineering. To date exact formulas for the Lyapunov exponent, the criteria for the moment and almost sure sta

[Stochastic Modelling and Applied Probab

[Stochastic Modelling and Applied Probability] Stochastic Stability of Differential Equations Volume 66 || Markov Processes and Stochastic Differential Equations

✍ Khasminskii, Rafail 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 477 KB

Since the publication of the first edition of the present volume in 1980, the stochastic stability of differential equations has become a very popular subject of research in mathematics and engineering. To date exact formulas for the Lyapunov exponent, the criteria for the moment and almost sure sta

[Stochastic Modelling and Applied Probab

[Stochastic Modelling and Applied Probability] Stochastic Stability of Differential Equations Volume 66 || Boundedness in Probability and Stability of Stochastic Processes Defined by Differential Equations

✍ Khasminskii, Rafail 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 491 KB

Since the publication of the first edition of the present volume in 1980, the stochastic stability of differential equations has become a very popular subject of research in mathematics and engineering. To date exact formulas for the Lyapunov exponent, the criteria for the moment and almost sure sta

[Stochastic Modelling and Applied Probab

[Stochastic Modelling and Applied Probability] Continuous-Time Markov Chains and Applications Volume 37 || || Front_matter

✍ Yin, G. George; Zhang, Qing 📂 Article 📅 2013 ⚖ 329 KB