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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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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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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 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 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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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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Stochastic PDEs and Dynamics

This book explains mathematical theories of a collection of stochastic partial differential equations and their dynamical behaviors. Based;

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Numerical Methods for Stochastic Partial Differential Equations with White Noise

noise, where discretization of white noise (Brownian motion) leads to PDEs with smooth noise, which can then be treated by numerical methods for;

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From Particle Systems to Partial Differential Equations

of particle systems and PDEs and their relation. The book is recommended to probabilists, analysts and to those mathematicians in general, whose work;

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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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Proper Orthogonal Decomposition Methods for Partial Differential Equations

computational process. Introduces the foundations of finite-differences, finite-elements and finite-volume-elements. Models of time-dependent PDEs are;

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Intro To Probability & Mathemat

The Second Edition of INTRODUCTION TO PROBABILITY AND MATHEMATICAL STATISTICS focuses on developing the skills to build probability;

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Mathematical Tools for Physicists

and network theory, PDEs of mathematical physics, probability theory, stochastic differential equations, and variational methods.;

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Stochastic Linear Programming Algorithms

problems, this is the first book to present comparative computational results with several major stochastic programming solution approaches;

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Synchronization in Infinite-Dimensional Deterministic and Stochastic Systems

abstract models and covers several important classes of coupled nonlinear deterministic and stochastic PDEs which generate infinite-dimensional;

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Synchronization in Infinite-Dimensional Deterministic and Stochastic Systems

abstract models and covers several important classes of coupled nonlinear deterministic and stochastic PDEs which generate infinite-dimensional;

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Stochastic Models of Uncertainties in Computational Mechanics

Stochastic Models of Uncertainties in Computational Mechanics presents the main concepts, formulations, and recent advances in the use of a;

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Geometric Partial Differential Equations - Part I

of fields within mathematics, science, and engineering. About every aspect of computational geometric PDEs is discussed in this and a;

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Geometric Partial Differential Equations - Part 2

of fields within mathematics, science, and engineering. About every aspect of computational geometric PDEs is discussed in this and a;

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Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology

mathematical and computational methods with which to study biological processes. At the scale of a single cell, stochasticity becomes important due to;

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Monte-carlo Methods and Stochastic Processes

Developed from the author's course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear;

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Monte-Carlo Methods and Stochastic Processes

Developed from the author's course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear;

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Applied Stochastic Modelling

Highlighting modern computational methods, Applied Stochastic Modelling, Second Edition provides students with the practical experience;

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Applied Stochastic Modelling

reference to computational programs, the author provides the option of using powerful computational tools for stochastic modelling. All of the data;

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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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Deterministic And Stochastic Topics In Computational Finance

The book is based on the author's lectures on topics on computational finance for senior and graduate students, delivered in USA (Princeton;

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