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Numerical Methods for Stochastic Computations

The@ first graduate-level textbook to focus on fundamental aspects of numerical methods for stochastic computations, this book describes;

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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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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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Numerical And Symbolic Computations Of Generalized Inverses

is important for numerical-symbolic computations.;

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Numerical Methods for Stochastic Partial Differential Equations with White Noise

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

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Numerical Methods for Stochastic Control Problems in Continuous Time

reflect the latest developments. It covers effective numerical methods for stochastic control problems in continuous time on two levels, that;

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Invariant Measures for Stochastic Nonlinear Schroedinger Equations

methods for stochastic nonlinear Schroedinger equations. This book will appeal to researchers who are interested in numerical analysis;

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Numerical Methods For Stochastic Processes

Stochastic models deal with mathematical expectations (the probability of events, variance, etc). This study deals with the calculation;

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Multivariate Algorithms and Information-Based Complexity

probabilistic numerical methods and numerical methods for stochastic differential equations.;

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Stochastic Processes for Physicists

of the more exotic Levy processes is included, as is a concise account of numerical methods for simulating stochastic systems driven by Gaussian;

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Numerical Methods for Scientists and Engineers

This book presents an exhaustive and in-depth exposition of the various numerical methods used in scientific and engineering computations;

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Distribution of Statistical Observables for Anomalous and Nonergodic Diffusions

modelled by non-Brownian stochastic processes in the complex real-world environment. Statistical observables are widely used for anomalous and;

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Numerical Methods and their Applications to Linear Algebra

methods. It includes new iterative methods for generalized singular-value problems and perturbation analysis of the stochastic algebraic Riccati;

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Polynomial Chaos Methods for Hyperbolic Partial Differential Equations

This monograph presents computational techniques and numerical analysis to study conservation laws under uncertainty using the stochastic;

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Monte-carlo Methods and Stochastic Processes

basic tools for stochastic simulation and analysis of algorithm convergence. The second part describes Monte-Carlo methods for the simulation;

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Monte-Carlo Methods and Stochastic Processes

basic tools for stochastic simulation and analysis of algorithm convergence. The second part describes Monte-Carlo methods for the simulation;

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Numerical Solution of Stochastic Differential Equations with Jumps in Finance

processes, described in Kloeden & Platen: Numerical Solution of Stochastic Differential Equations (1992). The present monograph builds on the above;

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Stochastic Modelling of Reactionâ Diffusion Processes

reactions, introducing stochastic simulation algorithms and mathematical methods for analysis of stochastic models. Different stochastic spatio;

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Stochastic Modelling of Reaction-Diffusion Processes

reactions, introducing stochastic simulation algorithms and mathematical methods for analysis of stochastic models. Different stochastic spatio;

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Numerical Computations: Theory and Algorithms

The two-volume set LNCS 11973 and 11974 constitute revised selected papers from the Third International Conference on Numerical;

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Large-Scale Scientific Computing

approaches; numerical methods for multiphysics problems; large-scale models: numerical methods, parallel computations and applications;

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Numerical Methods in Matrix Computations

methods is given. Numerical Methods in Matrix Computations is suitable for use in courses on scientific computing and applied technical areas;

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Large Scale Scientific Computing

carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on numerical modeling of fluids and;

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Stochastic Methods: A Handbook for the Natural and Social Sciences

of stochastic differential equations to make the book even more valuable for practitioners.;

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Stochastic Methods: A Handbook for the Natural and Social Sciences

of stochastic differential equations to make the book even more valuable for practitioners.;

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Introduction to Computational Earthquake Engineering

numerical simulation of strong ground motion and faulting, respectively. Stochastic modeling is used for uncertain underground structures, and;

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Stochastic Numerics for Mathematical Physics

of geometric integrators used in molecular dynamics; numerical methods for FBSDEs; approximation of parabolic SPDEs and nonlinear filtering problem;

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