Continuous-Time Random Walks for the Numerical Solution of Stochastic Differential Equations, Nawaf Bou-Rabee, Eric Vanden-Eijnden

Автор: Platen
Название: Numerical Solution of Stochastic Differential Equations with Jumps in Finance
ISBN: 3642120571 ISBN-13(EAN): 9783642120572
Издательство: Springer
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Цена: 84780.00 T
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Описание: It presents many new results on higher-order methods for scenario and Monte Carlo simulation, including implicit, predictor corrector, extrapolation, Markov chain and variance reduction methods, stressing the importance of their numerical stability.

Автор: Eckhard Platen; Nicola Bruti-Liberati
Название: Numerical Solution of Stochastic Differential Equations with Jumps in Finance
ISBN: 3662519739 ISBN-13(EAN): 9783662519738
Издательство: Springer
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Цена: 65170.00 T
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Описание: This volume provides an introduction to stochastic differential equations with jumps, in both theory and application. The book is accessible and contains many new results on numerical methods but also innovative methodologies in quantitative finance.

Автор: Xiaoying Han; Peter E. Kloeden
Название: Random Ordinary Differential Equations and Their Numerical Solution
ISBN: 9811062641 ISBN-13(EAN): 9789811062643
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book is intended to make recent results on the derivation of higher order numerical schemes for random ordinary differential equations (RODEs) available to a broader readership, and to familiarize readers with RODEs themselves as well as the closely associated theory of random dynamical systems.

Автор: Lord
Название: An Introduction to Computational Stochastic PDEs
ISBN: 0521899907 ISBN-13(EAN): 9780521899901
Издательство: Cambridge Academ
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Цена: 121440.00 T
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Описание: This comprehensive introduction to stochastic partial differential equations incorporates the effects of randomness into real-world models, offering graduate students and researchers powerful tools for understanding uncertainty quantification for risk analysis. MATLAB (R) codes are included, so that readers can perform computations themselves and solve the test problems discussed.

Автор: Lord
Название: An Introduction to Computational Stochastic PDEs
ISBN: 0521728525 ISBN-13(EAN): 9780521728522
Издательство: Cambridge Academ
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Цена: 60190.00 T
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Описание: This comprehensive introduction to stochastic partial differential equations incorporates the effects of randomness into real-world models, offering graduate students and researchers powerful tools for understanding uncertainty quantification for risk analysis. MATLAB (R) codes are included, so that readers can perform computations themselves and solve the test problems discussed.

Автор: Zhongqiang Zhang; George Em Karniadakis
Название: Numerical Methods for Stochastic Partial Differential Equations with White Noise
ISBN: 3319575104 ISBN-13(EAN): 9783319575100
Издательство: Springer
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Цена: 102480.00 T
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Описание: This book covers numerical methods for stochastic partial differential equations with white noise using the framework of Wong-Zakai approximation. In addition, stochastic Euler equations are exploited as an application of stochastic collocation methods, where a numerical comparison with other integration methods in random space is made.

Автор: Tarek Mathew
Название: Domain Decomposition Methods for the Numerical Solution of Partial Differential Equations
ISBN: 3540772057 ISBN-13(EAN): 9783540772057
Издательство: Springer
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Цена: 121110.00 T
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Описание: A matrix oriented introduction to domain decomposition methodology. It discusses topics including hybrid formulations, Schwarz, substructuring and Lagrange multiplier methods for elliptic equations, computational issues, least squares-control methods, multilevel methods, non-self adjoint problems, parabolic equations and saddle point applications.

Автор: Sewell Granville
Название: The Numerical Solution of Ordinary and Partial Differential Equations: 3rd Edition
ISBN: 981463509X ISBN-13(EAN): 9789814635097
Издательство: World Scientific Publishing
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Цена: 42240.00 T
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Описание: This book presents methods for the computational solution of differential equations, both ordinary and partial, time-dependent and steady-state.

Автор: Sewell Granville
Название: The Numerical Solution of Ordinary and Partial Differential Equations
ISBN: 9814635081 ISBN-13(EAN): 9789814635080
Издательство: World Scientific Publishing
Цена: 85530.00 T
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Описание: This book presents methods for the computational solution of differential equations, both ordinary and partial, time-dependent and steady-state.

Автор: Xie
Название: Differential Equations for Engineers
ISBN: 1107632951 ISBN-13(EAN): 9781107632950
Издательство: Cambridge Academ
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Цена: 63360.00 T
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Описание: Xie presents a systematic introduction to differential equations for engineering students. The relevance of differential equations in engineering applications motivates readers, and studies of various types of differential equations are determined by engineering applications. The theory and techniques for solving differential equations are then applied to solve practical engineering problems.

Автор: Karl K. Sabelfeld, Nikolai A. Simonov
Название: Stochastic Methods for Boundary Value Problems: Numerics for High-dimensional PDEs and Applications
ISBN: 3110479060 ISBN-13(EAN): 9783110479065
Издательство: Walter de Gruyter
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Цена: 123910.00 T
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Описание: This monograph is devoted to random walk based stochastic algorithms for solving high-dimensional boundary value problems of mathematical physics and chemistry. It includes Monte Carlo methods where the random walks live not only on the boundary, but also inside the domain. A variety of examples from capacitance calculations to electron dynamics in semiconductors are discussed to illustrate the viability of the approach.The book is written for mathematicians who work in the field of partial differential and integral equations, physicists and engineers dealing with computational methods and applied probability, for students and postgraduates studying mathematical physics and numerical mathematics. Contents: IntroductionRandom walk algorithms for solving integral equationsRandom walk-on-boundary algorithms for the Laplace equationWalk-on-boundary algorithms for the heat equationSpatial problems of elasticityVariants of the random walk on boundary for solving stationary potential problemsSplitting and survival probabilities in random walk methods and applicationsA random WOS-based KMC method for electron-hole recombinationsMonte Carlo methods for computing macromolecules properties and solving related problemsBibliography

Автор: Ahmad Shair
Название: Textbook on Ordinary Differential Equations
ISBN: 3319164074 ISBN-13(EAN): 9783319164076
Издательство: Springer
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Цена: 46570.00 T
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Описание: The second edition has been revised to correct minor errata, and features a number of carefully selected new exercises, together with more detailed explanations of some of the topics. A complete Solutions Manual, containing solutions to all the exercises published in the book, is available.