Partial Differential Equations: Modelling and Numerical Simulation
For more than 250 years partial differential equations have been clearly the most important tool available to mankind in order to understand a large variety of phenomena, natural at first and then those originating from - man activity and technological development. Mechanics, physics and their engineering applications were the first to benefit from the impact of partial differential equations on modeling and design, but a little less than a century ago the Schr¨ odinger equation was the key opening the door to the application of partial differential equations to quantum chemistry, for small atomic and molecular systems at first, but then for systems of fast growing complexity. The place of partial differential equations in mathematics is a very particular one: initially, the partial differential equations modeling natural phenomena were derived by combining calculus with physical reasoning in order to - press conservation laws and principles in partial differential equation form, leading to the wave equation, the heat equation, the equations of elasticity, the Euler and Navier–Stokes equations for—fluids, the Maxwell equations of electro-magnetics, etc. It is in order to solve ‘constructively’ the heat equation that Fourier developed the series bearing his name in the early 19th century; Fourier series (and later integrals) have played (and still play) a fundamental role in both pure and applied mathematics, including many are as quite remote from partial differential equations. On the other hand, several areas of mathematics such as differential ge- etry have benefited from their interactions with partial differential equations.
1103818399
Partial Differential Equations: Modelling and Numerical Simulation
For more than 250 years partial differential equations have been clearly the most important tool available to mankind in order to understand a large variety of phenomena, natural at first and then those originating from - man activity and technological development. Mechanics, physics and their engineering applications were the first to benefit from the impact of partial differential equations on modeling and design, but a little less than a century ago the Schr¨ odinger equation was the key opening the door to the application of partial differential equations to quantum chemistry, for small atomic and molecular systems at first, but then for systems of fast growing complexity. The place of partial differential equations in mathematics is a very particular one: initially, the partial differential equations modeling natural phenomena were derived by combining calculus with physical reasoning in order to - press conservation laws and principles in partial differential equation form, leading to the wave equation, the heat equation, the equations of elasticity, the Euler and Navier–Stokes equations for—fluids, the Maxwell equations of electro-magnetics, etc. It is in order to solve ‘constructively’ the heat equation that Fourier developed the series bearing his name in the early 19th century; Fourier series (and later integrals) have played (and still play) a fundamental role in both pure and applied mathematics, including many are as quite remote from partial differential equations. On the other hand, several areas of mathematics such as differential ge- etry have benefited from their interactions with partial differential equations.
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Partial Differential Equations: Modelling and Numerical Simulation

Partial Differential Equations: Modelling and Numerical Simulation

Partial Differential Equations: Modelling and Numerical Simulation

Partial Differential Equations: Modelling and Numerical Simulation

Paperback(Softcover reprint of hardcover 1st ed. 2008)

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Overview

For more than 250 years partial differential equations have been clearly the most important tool available to mankind in order to understand a large variety of phenomena, natural at first and then those originating from - man activity and technological development. Mechanics, physics and their engineering applications were the first to benefit from the impact of partial differential equations on modeling and design, but a little less than a century ago the Schr¨ odinger equation was the key opening the door to the application of partial differential equations to quantum chemistry, for small atomic and molecular systems at first, but then for systems of fast growing complexity. The place of partial differential equations in mathematics is a very particular one: initially, the partial differential equations modeling natural phenomena were derived by combining calculus with physical reasoning in order to - press conservation laws and principles in partial differential equation form, leading to the wave equation, the heat equation, the equations of elasticity, the Euler and Navier–Stokes equations for—fluids, the Maxwell equations of electro-magnetics, etc. It is in order to solve ‘constructively’ the heat equation that Fourier developed the series bearing his name in the early 19th century; Fourier series (and later integrals) have played (and still play) a fundamental role in both pure and applied mathematics, including many are as quite remote from partial differential equations. On the other hand, several areas of mathematics such as differential ge- etry have benefited from their interactions with partial differential equations.

Product Details

ISBN-13: 9789048179794
Publisher: Springer Netherlands
Publication date: 11/23/2010
Series: Computational Methods in Applied Sciences , #16
Edition description: Softcover reprint of hardcover 1st ed. 2008
Pages: 292
Product dimensions: 6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

Discontinuous Galerkin and Mixed Finite Element Methods.- Discontinuous Galerkin Methods.- Mixed Finite Element Methods on Polyhedral Meshes for Diffusion Equations.- On the Numerical Solution of the Elliptic Monge—Ampère Equation in Dimension Two: A Least-Squares Approach.- Linear and Nonlinear Hyperbolic Problems.- Higher Order Time Stepping for Second Order Hyperbolic Problems and Optimal CFL Conditions.- Comparison of Two Explicit Time Domain Unstructured Mesh Algorithms for Computational Electromagnetics.- The von Neumann Triple Point Paradox.- Domain Decomposition Methods.- A Lagrange Multiplier Based Domain Decomposition Method for the Solution of a Wave Problem with Discontinuous Coefficients.- Domain Decomposition and Electronic Structure Computations: A Promising Approach.- Free Surface, Moving Boundaries and Spectral Geometry Problems.- Numerical Analysis of a Finite Element/Volume Penalty Method.- A Numerical Method for Fluid Flows with Complex Free Surfaces.- Modelling and Simulating the Adhesion and Detachment of Chondrocytes in Shear Flow.- Computing the Eigenvalues of the Laplace-Beltrami Operator on the Surface of a Torus: A Numerical Approach.- Inverse Problems.- A Fixed Domain Approach in Shape Optimization Problems with Neumann Boundary Conditions.- Reduced-Order Modelling of Dispersion.- Finance (Option Pricing).- Calibration of Lévy Processes with American Options.- An Operator Splitting Method for Pricing American Options.
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