In this paper, we discuss the error behaviour of hybrid methods for stiff differential equations.
本文讨论刚性微分方程混合方法的误差特性。
The accurate dynamic analysis of a lot of chemical processes is a large scale problem of solving an array of combined stiff ordinary differential equations.
许多化工过程的精确动态分析计算是一个大规模的刚性常微分方程组的求解问题。
The dynamic equations developed in this paper are a set of highly nonlinear STIFF ordinary differential equations.
本文导出的动力学控制方程是高度非线性的STIFF常微分方程组。
Numerical experiments show that RTFHM is efficient for solving linear and nonlinear non-stiff delay differential equations.
数值试验结果表明，RTFHM对线性和非线性的非刚性延迟微分方程都是有效的。
This is a set of typical stiff ordinary differential equations, very small time step could only be adopted when solving the set of equations with common methods.
它是一组典型的刚性常微分方程组，用一般方法求解时只能选用很小的时间步长。
This is a set of typical stiff ordinary differential equations, very small time step could only be adopted when solving the set of equations with common methods.
它是一组典型的刚性常微分方程组，用一般方法求解时只能选用很小的时间步长。
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