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An Introduction to Computational Stochastic PDEs

This book gives a comprehensive introduction to numerical methods and analysis of stochastic processes, random fields and stochastic;

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Intro To Computational Stochastic PDEs

This book gives a comprehensive introduction to numerical methods and analysis of stochastic processes, random fields and stochastic;

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Stochastic Partial Differential Equations

Equations introduces PDEs to students familiar with basic probability theory and Ito's equations, highlighting several computational and analytical;

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Stochastic Dynamics in Computational Biology

recombinations. Another main objective is to illustrate and compare diverse numerical simulation schemes and their computational effort. Unlike related;

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Stochastic Partial Differential Equations

new theorems, such as explosive solutions of stochastic reaction diffusion equations Additional applications of stochastic PDEs to population;

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Stochastic Partial Differential Equations and Applications - VII

Stochastic Partial Differential Equations and Applications gives an overview of current state-of-the-art stochastic PDEs in several fields;

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Introduction to Computational Earthquake Engineering

New Edition: Introduction to Computational Earthquake Engineering (3rd Edition)Introduction to Computational Earthquake Engineering covers;

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Numerical Methods for Stochastic Partial Differential Equations with White Noise

. In Appendix B some semi-analytical methods for SPDEs are presented. In Appendix C an introduction to Gauss quadrature is provided. In Appendix D, all;

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Stochastic PDEs and Dynamics

theoretical framework for random attractors. With rigorous mathematical deduction, the book is an essential reference to mathematicians and physicists;

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An introduction to computational physics

These volumes collect the lecture notes of the course An introduction to computational physics held in the academic year 2000/01 for;

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An introduction to computational physics

These volumes collect the lecture notes of the course An introduction to computational physics held in the academic year 2000/01 for;

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A First Course in Stochastic Models

contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and;

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Geometric Partial Differential Equations - Part I

as an introduction to a research area as well as a teaching resource, and provides numerous pointers to the literature for further reading;

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Geometric Partial Differential Equations - Part 2

an introduction to a research area as well as a teaching resource, and provides numerous pointers to the literature for further reading

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PDE and Martingale Methods in Option Pricing

This book offers an introduction to the mathematical, probabilistic and numerical methods used in the modern theory of option pricing. The;

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Amplitude Equations For Stochastic Partial Differential Equations

subject highlighting the new tools necessary for stochastic equations, while serving as an excellent guide to recent research.;

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Introduction to Stochastic Processes with R

An introduction to stochastic processes through the use of R Introduction to Stochastic Processes with R is an accessible and well-balanced;

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Introduction To Computational Mathematics

This unique book provides a comprehensive introduction to computational mathematics, which forms an essential part of modern numerical;

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Distribution of Statistical Observables for Anomalous and Nonergodic Diffusions

observables, linking stochastic processes with PDEs. The book will appeal to both researchers of electrical engineering expert in the niche area;

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First Course In Partial Differential Equations, A

This textbook gives an introduction to Partial Differential Equations (PDEs), for any reader wishing to learn and understand the basic;

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Heat Kernel Method and its Applications

of some background material and gives an introduction to PDEs. The second part is devoted to a short introduction to various aspects;

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Existence Theory for Generalized Newtonian Fluids

of the solenoidal Lipschitz truncation, thus enabling readers to apply it to mathematical research Approaches stochastic PDEs with a;

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Bayesian Analysis of Stochastic Process Models

stochastic processes, providing a unified treatment. * Provides a thorough introduction for research students. * Computational tools to deal with;

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Computational Methods for Quantitative Finance: Finite Element Methods for Derivative Pricing

volume offers an introduction to deterministic algorithms for the fast and accurate pricing of derivative contracts in modern finance. This;

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Introduction to Computational Mathematics

This unique book provides a comprehensive introduction to computational mathematics, which forms an essential part of contemporary;

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Partial Differential Equations

of selected parabolic PDEs, and scalar conservation laws and systems of hyperbolic PDEs. * Provides an accessible yet rigorous introduction to;

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Qualitative Estimates For Partial Differential Equations

Qualitative Estimates For Partial Differential Equations: An Introduction describes an approach to the use of partial differential;

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