1) differential-algebraic equations
微分代数方程组
1.
Unlike traditional algorithms,the new algorithm is constructed by reducing the models to differential-algebraic equations with index 1 and using backward differentiation formulae with varable order and step size.
给出了一种能有效求解反应精馏微分代数方程组模型的数值算法。
2) differential-algebraic equations
微分-代数方程组
3) Differential/Algebraic Equations
微分/代数方程组
1.
A New Coordinate Reduction Method for the Numerical Analysis of Differential/Algebraic Equations in Dynamics of Multibody Systems;
多体系统动力学微分／代数方程组的一类缩并算法
4) systems of algebraic differential equations
代数微分方程组
1.
We obtain an estimation of the growth order of solution for a type of systems of algebraic differential equations by using Zalcman Lemma and methods given by Wenjun Yuan etc.
运用正规族的Zalcman引理和袁文俊等作者的技巧给出了一类代数微分方程组解的增长估计,推广了苏先峰[13]的相关结果,并举例说明估计的结果在特殊情形下是精确的。
5) Differential-Algebraic formula group
微分代数混合方程组
6) algebraic partial differential equation system
代数偏微分方程组
补充资料：代数方程
见多项式。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条