2015 Stochastic

Numerical Methods for Stochastic Partial Differential Equations with White Noise (Applied Mathematical Sciences)

Numerical Methods for Stochastic Partial Differential Equations with White Noise (Applied Mathematical Sciences) by Zhongqiang Zhang
English | 3 Oct. 2017 | ISBN: 3319575104 | 412 Pages | PDF | 3.72 MB

This book covers numerical methods for stochastic partial differential equations with white noise using the framework of Wong-Zakai approximation.

Stochastic Partial Differential Equations  eBooks & eLearning

Posted by First1 at Sept. 14, 2017
Stochastic Partial Differential Equations

Stochastic Partial Differential Equations by Sergey V. Lototsky, Boris L. Rozovsky
English | July 7th, 2017 | ISBN: 3319586459, 9783319586472, 9783319586458 | 508 pages | EPUB | 7.25 MB

Taking readers with a basic knowledge of probability and real analysis to the frontiers of a very active research discipline, this textbook provides all the necessary background from functional analysis and the theory of PDEs. It covers the main types of equations (elliptic, hyperbolic and parabolic) and discusses different types of random forcing.

Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations (Repost)  eBooks & eLearning

Posted by step778 at July 13, 2017
Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations (Repost)

Mickaël D. Chekroun, Honghu Liu, Shouhong Wang, "Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations: Stochastic Manifolds for Nonlinear SPDEs II"
2015 | pages: 141 | ISBN: 3319125192 | PDF | 4,4 mb

Variance-Constrained Multi-Objective Stochastic Control and Filtering  eBooks & eLearning

Posted by roxul at May 7, 2017
Variance-Constrained Multi-Objective Stochastic Control and Filtering

Lifeng Ma, Yuming Bo, Zidong Wang, "Variance-Constrained Multi-Objective Stochastic Control and Filtering"
English | 2015 | 336 Pages | ISBN: 1118929497 | PDF True | 4 MB
Stochastic Dominance: Investment Decision Making under Uncertainty, 3rd edition (repost)

Haim Levy, "Stochastic Dominance: Investment Decision Making under Uncertainty, 3rd edition"
English | ISBN: 3319217070 | 2015 | 528 pages | PDF | 6 MB
Stochastic Petri Nets for Wireless Networks (SpringerBriefs in Electrical and Computer Engineering)(Repost)

Stochastic Petri Nets for Wireless Networks (SpringerBriefs in Electrical and Computer Engineering) by Lei Lei
English | 2015 | ISBN: 3319168827 | 101 Pages | PDF | 2.89 MB
Applications of Evolutionary Computation: 18th European Conference, EvoApplications 2015, Copenhagen(Repost)

Applications of Evolutionary Computation: 18th European Conference, EvoApplications 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings by Antonio M. Mora
English | 2015 | ISBN: 3319165488 | 913 Pages | PDF | 73.66 MB
Engineering Mathematics II: Algebraic, Stochastic and Analysis Structures for Networks, Data Classification and Optimization: 2

Engineering Mathematics II: Algebraic, Stochastic and Analysis Structures for Networks, Data Classification and Optimization: 2 (Springer Proceedings in Mathematics & Statistics) by Sergei Silvestrov
English | 28 Feb. 2017 | ISBN: 3319421042 | 452 Pages | PDF | 6.11 MB

This book highlights the latest advances in engineering mathematics with a main focus on the mathematical models, structures, concepts, problems and computational methods and algorithms most relevant for applications in modern technologies and engineering.
Methods and Models in Mathematical Biology: Deterministic and Stochastic Approaches [Repost]

Johannes Müller, Christina Kuttler - Methods and Models in Mathematical Biology: Deterministic and Stochastic Approaches
Published: 2015-08-13 | ISBN: 3642272509 | PDF | 711 pages | 11.41 MB
Engineering Mathematics II: Algebraic, Stochastic and Analysis Structures for Networks, Data Classification and Optimization: 2

Engineering Mathematics II: Algebraic, Stochastic and Analysis Structures for Networks, Data Classification and Optimization: 2 (Springer Proceedings in Mathematics & Statistics) by Sergei Silvestrov
English | 13 Mar. 2017 | ISBN: 3319421042 | 436 Pages | PDF | 6.11 MB

This book highlights the latest advances in engineering mathematics with a main focus on the mathematical models, structures, concepts, problems and computational methods and algorithms most relevant for applications in modern technologies and engineering.