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Numerical analysis : an introduction.
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ISBN: 0817638954 3764338954 9780817638955 9783764338954 Year: 1997 Publisher: Boston Birkhäuser

Numerical methods for delay differential equations.
Authors: ---
ISBN: 0198506546 Year: 2003 Publisher: Oxford Clarendon

Fundamentals of numerical computing
Authors: --- ---
ISBN: 0471163635 9780471163633 Year: 1997 Publisher: New York (N.Y.): Wiley

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Abstract

This book examines the solution of some of the most common problems of numerical computation. By concentrating on one effective algorithm for each basic task, it develops the fundamental theory in a brief, elementary way. There are ample exercises, and codes are provided to reduce the time otherwise required for programming and debugging. Exposes readers to art of numerical computing as well as the science. Readers need only a familiarity with either FORTRAN or C. Applications are taken from a variety of disciplines including engineering, physics, and chemistry.

Computational methods in engineering boundary value problems
Author:
ISBN: 0125126506 9780125126502 9780080956534 008095653X 1282289039 9781282289031 9786612289033 Year: 1979 Volume: 145 Publisher: New York Academic Press

Numerical methods for ordinary differential equations
Author:
ISBN: 0471967580 9780471967583 Year: 2003 Publisher: Chichester : Wiley,

Computer methods and advances in geomechanics : proceedings of the eight international conference on computer methods and advances in geomechanics, Morgantown, West-Virginia, USA, 22-28 May 1994
Authors: --- ---
ISBN: 9054103817 9054103825 9054103833 9054103841 9054103809 Year: 1994 Publisher: Rotterdam Brookfield : A. A. Balkema,


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A first course in the numerical analysis of differential equations
Author:
ISBN: 9780521734905 9780511995569 0521734908 9780511504235 0511504233 9781139129862 1139129864 0511995563 9781283330398 1283330393 9781107193260 1107193265 9786613330390 6613330396 1139134906 9781139134903 1139133799 9781139133791 0511506376 9780511506376 Year: 2009 Publisher: Cambridge New York Cambridge University Press

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Abstract

Numerical analysis presents different faces to the world. For mathematicians it is a bona fide mathematical theory with an applicable flavour. For scientists and engineers it is a practical, applied subject, part of the standard repertoire of modelling techniques. For computer scientists it is a theory on the interplay of computer architecture and algorithms for real-number calculations. The tension between these standpoints is the driving force of this book, which presents a rigorous account of the fundamentals of numerical analysis of both ordinary and partial differential equations. The exposition maintains a balance between theoretical, algorithmic and applied aspects. This second edition has been extensively updated, and includes new chapters on emerging subject areas: geometric numerical integration, spectral methods and conjugate gradients. Other topics covered include multistep and Runge-Kutta methods; finite difference and finite elements techniques for the Poisson equation; and a variety of algorithms to solve large, sparse algebraic systems.

Simulating Hamiltonian dynamics
Authors: ---
ISBN: 9780511614118 9780521772907 0511080808 9780511080807 051161411X 0521772907 0511080042 9780511080043 1107128781 1280415061 9780511298004 9786610415069 0511170858 0511196385 0511298005 Year: 2004 Publisher: Cambridge Cambridge University Press

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Geometric integrators are time-stepping methods, designed such that they exactly satisfy conservation laws, symmetries or symplectic properties of a system of differential equations. In this book the authors outline the principles of geometric integration and demonstrate how they can be applied to provide efficient numerical methods for simulating conservative models. Beginning from basic principles and continuing with discussions regarding the advantageous properties of such schemes, the book introduces methods for the N-body problem, systems with holonomic constraints, and rigid bodies. More advanced topics treated include high-order and variable stepsize methods, schemes for treating problems involving multiple time-scales, and applications to molecular dynamics and partial differential equations. The emphasis is on providing a unified theoretical framework as well as a practical guide for users. The inclusion of examples, background material and exercises enhance the usefulness of the book for self-instruction or as a text for a graduate course on the subject.

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