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Könyv Numerical Methods for Bifurcation Problems and Large-Scale Dynamical Systems Eusebius Doedel

Numerical Methods for Bifurcation Problems and Large-Scale Dynamical Systems

Szerző: Eusebius Doedel, Laurette S. Tuckerman
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer, Berlin
Elérhetőség: Beszállítói készleten
Küldés 10-18 napon belül
35 444 Ft
The Institute for Mathematics and its Applications (IMA) devoted its 1997-1998 program to Emerging A...

Információk a könyvről

Szerző
Eusebius Doedel, Laurette S. Tuckerman
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2012
oldal
481
EAN
9780387989709
Enbook ID
01385718
Kiadó
Springer, Berlin
Súly
820
Méretek
162 x 241 x 27

Teljes leírás

The Institute for Mathematics and its Applications (IMA) devoted its 1997-1998 program to Emerging Applications of Dynamical Systems. Dynamical systems theory and related numerical algorithms provide powerful tools for studying the solution behavior of differential equations and mappings. In the past 25 years computational methods have been developed for calculating fixed points, limit cycles, and bifurcation points. A remaining challenge is to develop robust methods for calculating more complicated objects, such as higher- codimension bifurcations of fixed points, periodic orbits, and connecting orbits, as well as the calcuation of invariant manifolds. Another challenge is to extend the applicability of algorithms to the very large systems that result from discretizing partial differential equations. Even the calculation of steady states and their linear stability can be prohibitively expensive for large systems (e.g. 10_3- -10_6 equations) if attempted by simple direct methods. Several of the papers in this volume treat computational methods for low and high dimensional systems and, in some cases, their incorporation into software packages. A few papers treat fundamental theoretical problems, including smooth factorization of matrices, self -organized criticality, and unfolding of singular heteroclinic cycles. Other papers treat applications of dynamical systems computations in various scientific fields, such as biology, chemical engineering, fluid mechanics, and mechanical engineering.

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