Numerical models for differential problems / Alfio Quarteroni.

Author/creator Quarteroni, Alfio
Format Electronic
EditionSecond edition.
Publication InfoMilan ; New York: Springer, [2014]
Descriptionxix, 656 pages : illustrations ; 24 cm.
Supplemental ContentFull text available from Springer Books
Supplemental ContentFull text available from Springer Nature - Springer Mathematics and Statistics eBooks 2014 English International
Subjects

Uniform titleModellistica numerica per problemi differenziali. English
SeriesMS&A, 2037-5255 ; v. 8
MS&A (Series) ; v. 8. UNAUTHORIZED
Contents 1. A brief survey of partial differential equations -- 2. Elements of functional analysis -- 3. Elliptic equations -- 4. The Galerkin finite element method for elliptic problems -- 5. Parabolic equations -- 6. Generation of 1D and 2D grids -- 7. Algorithms for the solution of linear systems -- 8. Elements of finite element programming -- 9. The finite volume method -- 10. Spectral methods -- 11. Discontinuous element methods (DG and mortar) -- 12. Diffusion-transport-reaction equations -- 13. Finite differences for hyperbolic equations -- 14. Finite elements and spectral methods for hyperbolic equations -- 15. Nonlinear hyperbolic problems -- 16. Navier-Stokes equations -- 17. Optimal control of partial differential equations -- 18. Domain decomposition methods -- 19. Reduced basis approximation for parametrized partial differential equations.
Summary In this text, we introduce the basic concepts for the numerical modelling of partial differential equations. We consider the classical elliptic, parabolic and hyperbolic linear equations, but also the diffusion, transport, and Navier-Stokes equations, as well as equations representing conservation laws, saddle-point problems and optimal control problems. Furthermore, we provide numerous physical examples which underline such equations. We then analyze numerical solution methods based on finite elements, finite differences, finite volumes, spectral methods and domain decomposition methods, and reduced basis methods. In particular, we discuss the algorithmic and computer implementation aspects and provide a number of easy-to-use programs. The text does not require any previous advanced mathematical knowledge of partial differential equations: the absolutely essential concepts are reported in a preliminary chapter. It is therefore suitable for students of bachelor and master courses in scientific disciplines, and recommendable to those researchers in the academic and extra-academic domain who want to approach this interesting branch of applied mathematics -- Source other than Library of Congress.
General note"Translated by Silvia Quarteroni from the original Italian edition: A. Quarteroni, Modellistica Numerica per Problemi Differenziali, 5th ed., Springer-Verlag Italia, Milano, 2012"-- t.p. verso.
Bibliography noteIncludes bibliographical references (pages 635-648) and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2014395268
ISBN9788847055216
ISBN8847055210
ISBN9788847055223
ISBN8847055229

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