The ionization of one dimensional model atoms in ultra intense laser fields has been studied by solving time dependent Schrdinger equation using the least square fitting and the Runge Kutta methods.
利用最小二乘法和龙格库塔方法求解含时薛定谔方程，研究了一维原子模型在超强激光场中的电离。
The least square method is popularly used in linear and non-linear regressions for data fitting and estimating model parameters.
最小二乘法在化工中广泛用于数据拟合的线性和非线性回归及模型参数估值。
Firstly, the error of fit must be defined for nonlinear least-square fitting of generalized geometry model. Then the nonlinear optimization algorithm can be used to obtain the optimum solution.
对于一般几何模型的非线性最小均方误差拟合，首先必须定义拟合误差，然后采用非线性最优化方法求解最小误差意义下的最优解。
To solve the non-linear problem of a biosensor, the least square method and the optimum technique have been applied to build a mathematical model to evaluate the optimum fitting straight.
针对苯丙氨酸解氨酶生物传感器非线性特性，依据最小二乘法理论，采用最优化技术，建立了最佳拟合直线的数学模型，并给出基于可编程控制器的数据拟合程序。
To solve the non-linear problem of a biosensor, the least square method and the optimum technique have been applied to build a mathematical model to evaluate the optimum fitting straight.
针对苯丙氨酸解氨酶生物传感器非线性特性，依据最小二乘法理论，采用最优化技术，建立了最佳拟合直线的数学模型，并给出基于可编程控制器的数据拟合程序。
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