Meshfree approximation methods with matlab (with cd-rom), Fasshauer, Gregory E (illinois Inst Of Technology, Usa)
Автор: Michael Griebel; Marc Alexander Schweitzer Название: Meshfree Methods for Partial Differential Equations VII ISBN: 331938290X ISBN-13(EAN): 9783319382906 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Meshfree methods, particle methods, and generalized finite element methods have witnessed substantial development since the mid 1990s. For instance, meshfree methods can be viewed as a natural extension of classical finite element and finite difference methods to scattered node configurations with no fixed connectivity.
Автор: G.R. Liu; Y.T. Gu Название: An Introduction to Meshfree Methods and Their Programming ISBN: 9048168198 ISBN-13(EAN): 9789048168194 Издательство: Springer Рейтинг: Цена: 22201.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Mesh Free Methods, Moving Beyond the Finite Element Method d by GR Liu (2002) provides a systematic discussion on basic theories, fundamentals for MFree methods, especially on MFree weak-form methods.
Автор: Griebel Michael, Schweitzer Marc Alexander Название: Meshfree Methods for Partial Differential Equations VIII ISBN: 3319847872 ISBN-13(EAN): 9783319847870 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: There have been substantial developments in meshfree methods, particle methods, and generalized finite element methods since the mid 1990s. For instance, meshfree methods can be viewed as a natural extension of classical finite element and finite difference methods to scattered node configurations with no fixed connectivity.
Автор: Griebel Michael, Schweitzer Marc Alexander Название: Meshfree Methods for Partial Differential Equations IX ISBN: 3030151212 ISBN-13(EAN): 9783030151218 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Travis B. Fillmore, Varun Gupta and C. Armando Duarte: Preconditioned Conjugate Gradient Solvers for the Generalized Finite Element Method.- Csaba Gáspár: A Fast and Stable Multi-Level Solution Technique for the Method of Fundamental Solutions.- J. H. Gosse and E. J. Sharp: Explicit Margin of Safety Assessment of Composite Structure.- Rüdiger Kempf, Holger Wendland and Christian Rieger: Kernel-based Reconstructions for Parametric PDEs.- Jörg Kuhnert, Isabel Michel and Reiner Mack: Fluid Structure Interaction (FSI) in the MESHFREE Finite Pointset Method (FPM): Theory and Applications.- Fabian Nick, Hans-Joachim Plum and Jцrg Kuhnert: Parallel Detection of Subsystems in Linear Subsystems Arising in the MESHFREE Finite Pointset Method.- Andriy Sokolov, Oleg Davydov and Stefan Turek: Numerical Study of the RBF-FD Level Set Based Method for Partial Differential Equations on Evolving-in-Time Surfaces.- Modesar Shakoor, Jiaying Gao, Zeliang Liu, and Wing Kam Liu: A Data-Driven Multiscale Theory For Modeling Damage and Fracture of Composite Materials.- C. T. Wu, Youcai Wu, Wei Hu, Xiaofei Pan: Modeling the Friction Drilling Process Using a Thermo-Mechanical Coupled Smoothed Particle Galerkin Method.- Matthias Birner and Marc Alexander Schweitzer: Global-Local Enrichments in PUMA.- Clelia Albrecht, Constanze Klaar and Marc Alexander Schweitzer: Stable and Efficient Quantum Mechanical Calculations with PUMA on Triclinic Lattices.
Автор: Michael Griebel; Marc Alexander Schweitzer Название: Meshfree Methods for Partial Differential Equations VI ISBN: 3642429777 ISBN-13(EAN): 9783642429774 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Meshfree methods are a modern alternative to classical mesh-based discretization techniques such as finite differences or finite element methods. This volume collects selected papers presented at the Sixth International Workshop on Meshfree Methods held in Bonn, Germany in October 2011.
Автор: Michael Griebel; Marc Alexander Schweitzer Название: Meshfree Methods for Partial Differential Equations IX ISBN: 3030151182 ISBN-13(EAN): 9783030151188 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This volume collects selected papers presented at the Ninth International Workshop on Meshfree Methods held in Bonn, Germany in September 2017. They address various aspects of this very active research field and cover topics from applied mathematics, physics and engineering.
The numerical treatment of partial differential equations with meshfree discretization techniques has been a very active research area in recent years. While the fundamental theory of meshfree methods has been developed and considerable advances of the various methods have been made, many challenges in the mathematical analysis and practical implementation of meshfree methods remain.
This symposium aims to promote collaboration among engineers, mathematicians, and computer scientists and industrial researchers to address the development, mathematical analysis, and application of meshfree and particle methods especially to multiscale phenomena. It continues the 2-year-cycled Workshops on Meshfree Methods for Partial Differential Equations.
Автор: Michael Griebel; Marc Alexander Schweitzer Название: Meshfree Methods for Partial Differential Equations V ISBN: 3642265839 ISBN-13(EAN): 9783642265839 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The numerical treatment of partial differential equations with particle methods and meshfree discretization techniques is an extremely active research field, both in the mathematics and engineering communities.
Автор: Michael Griebel; Marc Alexander Schweitzer Название: Meshfree Methods for Partial Differential Equations VIII ISBN: 3319519530 ISBN-13(EAN): 9783319519531 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: There have been substantial developments in meshfree methods, particle methods, and generalized finite element methods since the mid 1990s. For instance, meshfree methods can be viewed as a natural extension of classical finite element and finite difference methods to scattered node configurations with no fixed connectivity.
Описание: This book presents broadly applicable methods for the large deviation and moderate deviation analysis of discrete and continuous time stochastic systems. By characterizing a large deviation principle in terms of Laplace asymptotics, one converts the proof of large deviation limits into the convergence of variational representations.
Автор: Harold Cohen Название: Numerical Approximation Methods ISBN: 148999159X ISBN-13(EAN): 9781489991591 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents numerical and other approximation techniques for solving various types of mathematical problems that cannot be solved analytically. In addition to well known methods, it contains some non-standard approximation techniques.
Описание: This book presents broadly applicable methods for the large deviation and moderate deviation analysis of discrete and continuous time stochastic systems. A feature of the book is the systematic use of variational representations for quantities of interest such as normalized logarithms of probabilities and expected values. By characterizing a large deviation principle in terms of Laplace asymptotics, one converts the proof of large deviation limits into the convergence of variational representations. These features are illustrated though their application to a broad range of discrete and continuous time models, including stochastic partial differential equations, processes with discontinuous statistics, occupancy models, and many others. The tools used in the large deviation analysis also turn out to be useful in understanding Monte Carlo schemes for the numerical approximation of the same probabilities and expected values. This connection is illustrated through the design and analysis of importance sampling and splitting schemes for rare event estimation. The book assumes a solid background in weak convergence of probability measures and stochastic analysis, and is suitable for advanced graduate students, postdocs and researchers.
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