摘要
Differential-algebraic equations (DAE’s) arise naturally in many applied fields, but numerical and analytical difficulties that have not appeared in ordinary differential equations (ODE’s) occur in DAE’s because it includes algebraic constrained equations. Some efficient numerical methods for ODE’s can not work well for DAE’s. So many eminent numerical analysis scholars are interested in this field recently. But few numerical methods are able to solve all DAE’s because of its essential difficulties. This paper discusses the simulation algorithm character of DAE’s. And we construct an efficient constrained-algebraic algorithm based on the Runge-Kutta methods of order two for the semi-explicit differential-algebraic equations with index two and give the computational experiment results for specific examples. The experiment results indicate that the constrained-algebraic algorithm is high efficient for semi-explicit differential-algebraic equations with index two.
Differential-algebraic equations (DAE's) arise naturally in many applied fields, but numerical and analytical difficulties that have not appeared in ordinary differential equations (ODE's) occur in DAE's because it includes algebraic constrained equations. Some efficient numerical methods for ODE's can not work well for DAE's. So many eminent numerical analysis scholars are interested in this field recently. But few numerical methods are able to solve all DAE's because of its essential difficulties. This paper discusses the simulation algorithm character of DAE's. And we construct an efficient constrained-algebraic algorithm based on the Runge-Kutta methods of order two for the semi-explicit differential-algebraic equations with index two and give the computational experiment results for specific examples. The experiment results indicate that the constrained-algebraic algorithm is high efficient for semi-explicit differential-algebraic equations with index two.
出处
《数值计算与计算机应用》
CSCD
北大核心
2001年第2期97-105,共9页
Journal on Numerical Methods and Computer Applications
基金
国家自然科学基金资助(课题号 19731010)
国防科技预研基金资助项目