Gauss-Seidel Iteration for Stiff ODES from Chemical Kinetics

نویسنده

  • Jan G. Verwer
چکیده

A simple Gauss-Seidel technique is proposed which exploits the special form of the chemical kinetics equations. Classical Aitken extrapolation is applied to accelerate convergence. The technique is meant for implementation in stii solvers that are used in long range transport air pollution codes using operator splitting. Splitting necessarily gives rise to a great deal of integration restarts. Because the Gauss-Seidel iteration works matrix free, it has much less overhead than the modiied Newton method. Start-up costs therefore can be kept low with this technique. Preliminary promising numerical results are presented for a prototype of a second order BDF solver applied to a stii ODE from atmospheric chemistry. A favourable comparison with the general purpose BDF code DASSL is included. The matrix free technique may also be of interest for other chemically reacting uid ow problems. Note: This paper is one of a series on the development of algorithms for long range transport air pollution models (projects EUSMOG and CIRK).

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Explicit Methods for Stii Odes from Atmospheric Chemistry

The subject of research is the numerical integration of atmospheric chemical kinetics systems. The application lies in the study of air pollution, modelled by atmospheric chemistry-transport problems. This application puts high demands on the eeciency of the stii solver. Three explicit methods are discussed and compared for a selected chemical kinetics system which is representative for the sta...

متن کامل

An Algorithm for ODES from Atmospheric Dispersion Problems

The solution of large systems of ordinary differential equations o.d.e.s, arising from atmospheric dispersion problems is considered. An algorithm using a method due to Klopfenstein is adopted as the main method and combined with an approximate Jacobian factorisation and a Gauss-Seidel iteration to provide an efficient solver. The approach is contrasted with that of using implicit-explicit mult...

متن کامل

Combining Performance Aspects of Irregular Gauss-Seidel Via Sparse Tiling

Finite Element problems are often solved using multigrid techniques. The most time consuming part of multigrid is the iterative smoother, such as Gauss-Seidel. To improve performance, iterative smoothers can exploit parallelism, intra-iteration data reuse, and inter-iteration data reuse. Current methods for parallelizing Gauss-Seidel on irregular grids, such as multi-coloring and ownercomputes ...

متن کامل

Accuracy Enhancement Using Spectral Postprocessing for Differential Equations and Integral Equations

It is demonstrated that spectral methods can be used to improve the accuracy of numerical solutions obtained by some lower order methods. More precisely, we can use spectral methods to postprocess numerical solutions of initial value differential equations. After a few number of iterations (say 3 to 4), the errors can decrease to a few orders of magnitude less. The iteration uses the Gauss-Seid...

متن کامل

Self-adaptive Extrapolated Gauss-Seidel Iterative Methods

In this paper, we consider a self-adaptive extrapolated Gauss-Seidel method for solving the Hermitian positive definite linear systems. Based on optimization models, self-adaptive optimal factor is given. Moreover, we prove the convergence of the self-adaptive extrapolated Gauss-Seidel method without any constraints on optimal factor. Finally, the numerical examples show that the self-adaptive ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • SIAM J. Scientific Computing

دوره 15  شماره 

صفحات  -

تاریخ انتشار 1994