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1 - Introduction to partial differential equation integration in space and time

Published online by Cambridge University Press:  05 December 2012

William E. Schiesser
Affiliation:
Lehigh University, Pennsylvania
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Summary

Introduction

The analysis of biomedical systems using mathematical models expressed as partial differential equations (PDEs) is the central theme of this book. This is done not with mathematical analysis such as theorems and proofs, but rather, through example applications to illustrate computational methods for the numerical solution of the model equations, and the details of implementing these numerical methods in computer codes. Example applications are taken from the recent literature: antibody binding kinetics, acidmediated tumor growth, retinal O2 transport, hemodialyzer dynamics, epidermal wound healing, drug distribution from a polymer matrix. Each chapter covers a self-contained example.

The numerical solution of the model equations is through a single, well-established procedure for PDEs, the method of lines (MOL), which has been applied to all of the major classes of PDE (parabolic, hyperbolic, and elliptic). Basically, the spatial derivatives in the PDEs are replaced with algebraic approximations; in the present book, the approximations are finite differences (FDs) although other approximations could easily be accommodated within the MOL format, e.g., finite elements, finite volumes, spectral methods, Galerkin methods such as collocation. The final result is a set of routines that implement the MOL calculations for each particular application; the format of these routines is the same throughout the set of applications.

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Publisher: Cambridge University Press
Print publication year: 2012

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References

[1] Butcher, J. W. (2003), Numerical Methods for Ordinary Differential Equations, Hoboken, NJ: John Wiley and Sons, IncCrossRefGoogle Scholar
[2] Butcher, J. W. (2007), Runge-Kutta methods, Scholarpedia, 2 (9), 3147; www.scholarpedia.org/article/Runge-Kutta_methodsCrossRefGoogle Scholar
[3] Fornberg, B. (1992), Fast generation of weights in finite difference formulas, in Recent Developments in Numerical Methods and Software for ODEs/DAEs/PDEs, G., Byrne and W. E., Schiesser (eds.), River Edge, NJ: World ScientificGoogle Scholar
[4] Fornberg, B. (1998), Calculation of weights in finite difference formulas, SIAM Rev., 40 (3), September, 685–691CrossRefGoogle Scholar
[5] Gear, C. W. (1971), Numerical Initial Value Problems in Ordinary Differential Equations, Englewood Cliffs, NJ: Prentice-HallGoogle Scholar
[6] Griffiths, G. W. and Schiesser, W. E. (2011), Traveling Wave Analysis of Partial Differential Equations, Burlington, MA: Academic Press/ElsevierGoogle Scholar
[7] Hindmarsh, A. C., Gresho, P. M., and Griffiths, D. F. (1984), The stability of explicit Euler method for certain finite difference approximations of the multi-dimensional advection-diffusion equation, Int. J. Num. Meth. Fluids, 4, 853–897CrossRefGoogle Scholar
[8] Lee, H. J. and Schiesser, W. E. (2004), Ordinary and Partial Differential Equation Routines in C, C++, Fortran, Java, Maple, and MATLAB, Appendix C, Boca Raton, FL: Chapman & Hall/CRCGoogle Scholar
[9] Polyanin, A. D., Schiesser, W. E, and Zhurov, A. I. (2008), Partial differential equations, Scholarpedia, 3 (10), 4605www.scholarpedia.org/article/partial_differential_equationsCrossRefGoogle Scholar
[10] Schiesser, W. E. and Griffiths, G. W. (2009), A Compendium of Partial Differential Equation Models, Cambridge, UK: Cambridge University PressCrossRefGoogle Scholar
[11] Shampine, L. F. and Thompson, S. (2007), Stiff systems, Scholarpedia, 2 (3), 2855; www.scholarpedia.org/article/Stiff_systemsCrossRefGoogle Scholar
[12] Shampine, L. F. and Thompson, S. (2007), Initial value problems, Scholarpedia, 2 (3), 2861; www.scholarpedia.org/article/Initial_value_problemsCrossRefGoogle Scholar
[13] Shampine, L. F. and Reichelt, M. W. (1997), The Matlab ODE suite, SIAM J. Sci. Comput., 18, 1–22CrossRefGoogle Scholar

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