The above methods also apply to analysis of calculating stability for general linear equation group.
该方法也适用于分析一般线性方程组求解的稳定性。
From the basic equations of a linear viscoelastic solid, we introduce general expressions of displacement so that the problem is reduced to solving a linear integral equation.
直接从线性粘弹性基本方程着手，引进位移的一般表达式，将问题归结为求解一个线性积分方程。
In the paper, an integral type rheologic equation suitable for linear visco - elastoplastic rheologic model is presented, and the rheologic equation of a general rheologic integral model is given.
给出了适合线性粘弹塑性流变模型的积分形式流变方程，并给出了普遍流变积分模型的流变方程。
In general, special solution of non-homogeneous linear equation of constant coefficient of the second order is obtained by the method of undetermined coefficient, but it's process is too complicated.
二阶常系数非齐次线性微分方程的特解一般都是用“待定系数”法求得的，但求解过程都比较繁琐。
The stability of general linear methods for a nonlinear multi-delay differential equation;
讨论非线性变延迟微分方程初值问题一般线性方法的稳定性。
Except the Analysis of Variance Estimator, these approaches all need to solve a non-linear equation, which does not have explicit solution, and only has an iteration solution in general.
除了方差分析法外，他们都需要解一个非线性方程组，一般都没有显式解，只能获得迭代解。
For the controllability of constant non linear system by using the progression method, the general progression solution of state equation is obtained.
针对定常解析非线性系统进行能控性分析，采用微分方程级数解法得到状态方程的一般级数解，用作能控性分析的基本依据。
Motivated by the filter reconstruction and vanish-moment conditions, a general construction approach based on the state equation was proposed for linear time-invariant systems.
阐述了一种利用消失矩条件和线性时不变系统的状态方程来构造小波的方法。
Based on the criterion of deviation squares sum, a general forecasting equation is set up by using goal programming. It has advantages over the analysis of multi-variable linear regression.
提出依据离差绝对值和准则，用目标规划建立多元线性预测方程，该方法优于回归分析。
Based on the criterion of deviation squares sum, a general forecasting equation is set up by using goal programming. It has advantages over the analysis of multi-variable linear regression.
提出依据离差绝对值和准则，用目标规划建立多元线性预测方程，该方法优于回归分析。
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