Concept of Stability in numerical mathematics opens by examining the stability of finite algorithms. A more precise definition of stability holds for quadrature and interpolation methods, which the following chapters focus on. The discussion then progresses to the numerical treatment of ordinary differential equations (ODEs). While one-step methods for ODEs are always stable, this is not the case for hyperbolic or parabolic differential equations, which are investigated next. The final chapters discuss stability for discretisations of elliptic differential equations and integral equations.
In comparison among the subfields we discuss the practical importance of stability and the possible conflict between higher consistency order and stability.
Concept of Stability in numerical mathematics opens by examining the stability of finite algorithms. A more precise definition of stability holds for quadrature and interpolation methods, which the following chapters focus on. The discussion then progresses to the numerical treatment of ordinary differential equations (ODEs). While one-step methods for ODEs are always stable, this is not the case for hyperbolic or parabolic differential equations, which are investigated next. The final chapters discuss stability for discretisations of elliptic differential equations and integral equations.
In comparison among the subfields we discuss the practical importance of stability and the possible conflict between higher consistency order and stability.

The Concept of Stability in Numerical Mathematics
188
The Concept of Stability in Numerical Mathematics
188Paperback(Softcover reprint of the original 1st ed. 2014)
Product Details
ISBN-13: | 9783662513712 |
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Publisher: | Springer Berlin Heidelberg |
Publication date: | 08/23/2016 |
Series: | Springer Series in Computational Mathematics , #45 |
Edition description: | Softcover reprint of the original 1st ed. 2014 |
Pages: | 188 |
Product dimensions: | 6.10(w) x 9.25(h) x 0.02(d) |