Libri sul tema "McKean stochastic differential equation"
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Peszat, S. Stochastic partial differential equations with Lévy noise: An evolution equation approach. Cambridge: Cambridge University Press, 2007.
Prato, Giuseppe Da. Introduction to stochastic analysis and Malliavin calculus. Pisa, Italy: Edizioni della Normale, 2007.
Tadahisa, Funaki, e Woyczyński W. A. 1943-, a cura di. Nonlinear stochastic PDE's: Hydrodynamic limit and Burgers' turbulence. New York: Springer, 1996.
Frank, T. D. Nonlinear Fokker-Planck equations: Fundamentals and applications. Berlin: Springer, 2004.
Sowers, R. B. Short-time geometry of random heat kernels. Providence, R.I: American Mathematical Society, 1998.
Sowers, R. B. Short-time geometry of random heat kernels. Providence, R.I: American Mathematical Society, 1998.
Dalang, Robert C. H\older-Sobolev regularity of the solution to the stochastic wave equation in dimension three. Providence, R.I: American Mathematical Society, 2009.
Soize, Christian. The Fokker-Planck equation for stochastic dynamical systems and its explicit steady state solutions. Singapore: World Scientific, 1994.
Lawler, Gregory F. Random walk and the heat equation. Providence, R.I: American Mathematical Society, 2010.
Pascal, Auscher, Coulhon T e Grigoryan A, a cura di. Heat kernels and analysis on manifolds, graphs, and metric spaces: Lecture notes from a quarter program on heat kernels, random walks, and analysis on manifolds and graphs, April 16-July 13, 2002, Emile Borel Centre of the Henri Poincaré Institute, Paris, France. Providence, R.I: American Mathematical Society, 2003.
Frank, Till Daniel. Nonlinear Fokker-Planck equations: Fundamentals and applications. Berlin: Springer, 2005.
I, Bogachev V., N. V. Krylov, Michael Röckner e Stanislav V. Shaposhnikov. Fokker-Planck-Kolmogorov equations. Providence, Rhode Island: American Mathematical Society, 2015.
Calin, Ovidiu. Heat Kernels for Elliptic and Sub-elliptic Operators: Methods and Techniques. Boston: Springer Science+Business Media, LLC, 2011.
Ammari, Habib. Imaging, multi-scale, and high-contrast partial differential equations: Seoul ICM 2014 Satellite Conference, August 7-9, 2014, Daejeon, Korea. Providence, Rhode Island: American Mathematical Society, 2016.
Allen, E. Modeling with Itô Stochastic Differential Equations. Springer, 2007.
Ohira, Toru. A master equation approach to stochastic neurodynamics. 1993.
Zabczyk, J., e S. Peszat. Stochastic Partial Differential Equations with lévy Noise: An Evolution Equation Approach. Cambridge University Press, 2007.
Zabczyk, J., e S. Peszat. Stochastic Partial Differential Equations with Lévy Noise: An Evolution Equation Approach. Cambridge University Press, 2010.
Zabczyk, J., e S. Peszat. Stochastic Partial Differential Equations with Lévy Noise: An Evolution Equation Approach. Cambridge University Press, 2012.
Coffey, William T. Langevin Equation: With Applications to Stochastic Problems in Physics, Chemistry and Electrical Engineering. World Scientific Publishing Co Pte Ltd, 2017.
Susnjara, Anna, e Dragan Poljak. Deterministic and Stochastic Modeling in Computational Electromagnetics: Integral and Differential Equation Approaches. Wiley & Sons, Incorporated, John, 2023.
Susnjara, Anna, e Dragan Poljak. Deterministic and Stochastic Modeling in Computational Electromagnetics: Integral and Differential Equation Approaches. Wiley & Sons, Incorporated, John, 2023.
Susnjara, Anna, e Dragan Poljak. Deterministic and Stochastic Modeling in Computational Electromagnetics: Integral and Differential Equation Approaches. Wiley & Sons, Incorporated, John, 2023.
Allen, E. Modeling with Itô Stochastic Differential Equations. Springer London, Limited, 2007.
Zabczyk, J., e S. Peszat. Stochastic Partial Differential Equations with Lévy Noise: An Evolution Equation Approach (Encyclopedia of Mathematics and its Applications). Cambridge University Press, 2007.
Kuksin, Sergej B., e Alexandre Boritchev. One-Dimensional Turbulence and the Stochastic Burgers Equation. American Mathematical Society, 2021.
(Editor), Tadahisa Funaki, e Wojbor Woyczynski (Editor), a cura di. Nonlinear Stochastic PDE's: Hydrodynamic Limit and Burgers' Turbulence (The IMA Volumes in Mathematics and its Applications). Springer, 1995.
Allen, E. Modeling with Itô Stochastic Differential Equations: Theory and Applications). E Allen, 2010.
Heat kernels and analysis on manifolds, graphs, and metric spaces: Lecture notes from a quarter program on heat kernels, random walks, and analysis on manifolds and graphs : April 16-July 13, 2002, Emile Borel Centre of the Henri Poincaré Institute, Paris, France. Providence, R.I: American Mathematical Society, 2003.
(Editor), Pascal Auscher, T. Coulhon (Editor) e A. Grigoryan (Editor), a cura di. Heat Kernels and Analysis on Manifolds, Graphs, and Metric Spaces: Lecture Notes from a Quarter Program on Heat Kernels, Random Walks, and Analysis on ... Borel Centre of (Contemporary Mathematics). American Mathematical Society, 2004.
Prato, Giuseppe Da. Introduction to Stochastic Analysis and Malliavin Calculus. Scuola Normale Superiore, 2014.
Prato, Giuseppe Da, e Ville Turunen. Introduction to Stochastic Analysis and Malliavin Calculus. Scuola Normale Superiore, 2009.
Prato, Giuseppe Da. Introduction to Stochastic Analysis and Malliavin Calculus. Edizioni della Normale, 2014.
Keener, James P. Biology in Time and Space: A Partial Differential Equation Modeling Approach. American Mathematical Society, 2021.
Krylov, Nicolai V., Michael Rockner, Vladimir I. Bogachev e Stanislav V. Shaposhnikov. Fokker-Planck-Kolmogorov Equations. American Mathematical Society, 2015.
Eriksson, Olle, Anders Bergman, Lars Bergqvist e Johan Hellsvik. Atomistic Spin Dynamics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198788669.001.0001.
Brezin, Edouard, e Sinobu Hikami. Beta ensembles. A cura di Gernot Akemann, Jinho Baik e Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.20.