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Error Estimates for Advanced Galerkin Methods (Hardcover, 1st ed. 2019) Loot Price: R2,967
Discovery Miles 29 670
Error Estimates for Advanced Galerkin Methods (Hardcover, 1st ed. 2019): Marcus Olavi Ruter

Error Estimates for Advanced Galerkin Methods (Hardcover, 1st ed. 2019)

Marcus Olavi Ruter

Series: Lecture Notes in Applied and Computational Mechanics, 88

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Loot Price R2,967 Discovery Miles 29 670 | Repayment Terms: R278 pm x 12*

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This monograph provides a compendium of established and novel error estimation procedures applied in the field of Computational Mechanics. It also includes detailed derivations of these procedures to offer insights into the concepts used to control the errors obtained from employing Galerkin methods in finite and linearized hyperelasticity. The Galerkin methods introduced are considered advanced methods because they remedy certain shortcomings of the well-established finite element method, which is the archetypal Galerkin (mesh-based) method. In particular, this monograph focuses on the systematical derivation of the shape functions used to construct both Galerkin mesh-based and meshfree methods. The mesh-based methods considered are the (conventional) displacement-based, (dual-)mixed, smoothed, and extended finite element methods. In addition, it introduces the element-free Galerkin and reproducing kernel particle methods as representatives of a class of Galerkin meshfree methods. Including illustrative numerical examples relevant to engineering with an emphasis on elastic fracture mechanics problems, this monograph is intended for students, researchers, and practitioners aiming to increase the reliability of their numerical simulations and wanting to better grasp the concepts of Galerkin methods and associated error estimation procedures.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Applied and Computational Mechanics, 88
Release date: November 2019
First published: 2019
Authors: Marcus Olavi Ruter
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 496
Edition: 1st ed. 2019
ISBN-13: 978-3-03-006172-2
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of solids > General
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LSN: 3-03-006172-8
Barcode: 9783030061722

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