Detail publikace

Advanced Stiff Systems Detection

Originální název

Advanced Stiff Systems Detection

Anglický název

Advanced Stiff Systems Detection

Jazyk

en

Originální abstrakt

The paper deals with stiff systems of differential equations. To solve this sort of system numerically is a difficult task. There are many (implicit) methods for solving stiff systems of ordinary differential equations (ODE's), from the most simple such as implicit Euler method to more sophisticated (implicit Runge-Kutta methods) and finally the general linear methods. The mathematical formulation of the methods often looks clear, however the implicit nature of those methods implies several implementation problems. Usually a quite complicated auxiliary system of equations has to be solved in each step. These facts lead to immense amount of work to be done in each step of the computation. These are the reasons why one has to think twice before using the stiff solver and to decide between the stiff and non-stiff solver. On the other hand a very interesting and promising numerical method of solving systems of ordinary differential equations based on Taylor series has appeared. The potential of the Taylor series has been exposed by many practical experiments and a way of detection and solution of large systems of ordinary differential equations has been found.

Anglický abstrakt

The paper deals with stiff systems of differential equations. To solve this sort of system numerically is a difficult task. There are many (implicit) methods for solving stiff systems of ordinary differential equations (ODE's), from the most simple such as implicit Euler method to more sophisticated (implicit Runge-Kutta methods) and finally the general linear methods. The mathematical formulation of the methods often looks clear, however the implicit nature of those methods implies several implementation problems. Usually a quite complicated auxiliary system of equations has to be solved in each step. These facts lead to immense amount of work to be done in each step of the computation. These are the reasons why one has to think twice before using the stiff solver and to decide between the stiff and non-stiff solver. On the other hand a very interesting and promising numerical method of solving systems of ordinary differential equations based on Taylor series has appeared. The potential of the Taylor series has been exposed by many practical experiments and a way of detection and solution of large systems of ordinary differential equations has been found.

BibTex


@article{BUT91469,
  author="Václav {Šátek} and Jiří {Kunovský} and Jan {Kopřiva}",
  title="Advanced Stiff Systems Detection",
  annote="The paper deals with stiff systems of differential equations. To solve this sort
of system numerically is a difficult task.
There are many (implicit) methods for solving stiff systems of ordinary
differential equations (ODE's), from the most simple such as implicit Euler
method to more sophisticated (implicit Runge-Kutta methods) and finally the
general linear methods. The mathematical formulation of the methods often looks
clear, however the implicit nature of those methods implies several
implementation problems.
Usually a quite complicated auxiliary system of equations has to be solved in
each step. These facts lead to immense amount of work to be done in each step of
the computation. These are the reasons why one has to think twice before using
the stiff solver and to decide between the stiff and non-stiff solver.
On the other hand a very interesting and promising numerical method of solving
systems of ordinary differential equations based on Taylor series has appeared.
The potential of the Taylor series has been exposed by many practical experiments
and a way of detection and solution of large systems of ordinary differential
equations has been found.",
  address="NEUVEDEN",
  booktitle="Acta Electrotechnica etInformatica",
  chapter="91469",
  edition="NEUVEDEN",
  howpublished="print",
  institution="NEUVEDEN",
  number="4",
  volume="11",
  year="2012",
  month="march",
  pages="66--71",
  publisher="NEUVEDEN",
  type="journal article - other"
}