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Numerical Methods for PDEs

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Cover of 'Numerical Methods for PDEs'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Recent Developments in Numerical Methods for Partial Differential Equations
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    Chapter 2 An Introduction to the Theory of M-Decompositions
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    Chapter 3 Mimetic Spectral Element Method for Anisotropic Diffusion
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    Chapter 4 An Introduction to Hybrid High-Order Methods
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    Chapter 5 Distributed Lagrange Multiplier for Fluid-Structure Interactions
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    Chapter 6 Generalization of the Pythagorean Eigenvalue Error Theorem and Its Application to Isogeometric Analysis
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    Chapter 7 Weakly Consistent Regularisation Methods for Ill-Posed Problems
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    Chapter 8 Reduced Basis Approximation and A Posteriori Error Estimation: Applications to Elasticity Problems in Several Parametric Settings
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    Chapter 9 Adaptive Tree Approximation with Finite Element Functions: A First Look
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    Chapter 10 Defective Boundary Conditions for PDEs with Applications in Haemodynamics
Attention for Chapter 1: An Introduction to Recent Developments in Numerical Methods for Partial Differential Equations
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Chapter title
An Introduction to Recent Developments in Numerical Methods for Partial Differential Equations
Chapter number 1
Book title
Numerical Methods for PDEs
Published by
Springer, Cham, October 2018
DOI 10.1007/978-3-319-94676-4_1
Book ISBNs
978-3-31-994675-7, 978-3-31-994676-4
Authors

Daniele Antonio Di Pietro, Alexandre Ern, Luca Formaggia

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