采用阻尼最小二乘法与奇异值分解的方法来求解失调量。
By means of the damp least square method and singular value decomposition method, the misalignment of optical system could be calculated.
目前国内外的光学自动设计程序都采用单一的适应法或阻尼最小二乘法。
Prevalent programs for the automatic correction in optical designs adopt either the adaptive method or follow the damped least square approach.
本文讨论用阻尼最小二乘法的线性时不变系统的时域辨识，并给出其试验结果。
In this paper, identification of linear time-invariant systems in time domain using this method is discussed. Experimental results for an example are given.
通过阻尼最小二乘法自动迭代反演，减少了这代次数和多解性，提高了解释精度。
By damping least squares auto-fit, the iterative several times and ambiguity can are reduced, and accuracy is improved.
本文对应用有限元及阻尼最小二乘法进行电测深二维反演解释技术做了进一步的研究。
This paper studied the 2-d inversion interpreting technique of electrical sounding with the finite element method and the damped least square method.
阻尼最小二乘法在较差的初值条件下能有效运行，并能克服系数矩阵奇异时的迭代困难。
Damped least-squares method can work successfully at a relatively poor initial value, and it can overcome the recurrence difficulty caused by the singular coefficient matrix.
利用弯曲法进行有倾角的层状介质的两点射线追踪，并采用改进的阻尼最小二乘法迭代求解。
Using the bent method , we do two point ray tracing in dipping layered media and have acquired solutions iteratively with the improved Marquardt least square .
在光学系统优化设计的过程中，应用阻尼最小二乘法和适应法解决了大相对孔径、低畸变和MTF匹配等问题。
In optimized design, damped least squares method and adaptive procedure are used to get higher relative aperture, lower distortion and appropriate MTF, and so on.
反演过程归结为求解非线性最小二乘问题，在使用阻尼最小二乘法求解中提出了一种新的选取阻尼因子的算法。
The inverse process is equivalent to solve a nonlinear least square problem and a new way to choose damping factor is presented in utilizing the damping least square method.
应用非线性最小二乘平差方法阻尼最小二乘法研究了数字化数据误差处理，并将该方法与最小二乘条件平差进行了比较。
This paper presents a study on error processing of map digitized data with nonlinear least squares adjustment which is called damped least squares.
提出一种基于正交基函数的小波神经网络设计方法，采用多分辨率学习确定隐含层结构，并用收敛较快的阻尼最小二乘法训练权值。
In this approach the network structure is determined by multiresolution learning, and the weights are trained by damped least squares which has fast convergent rate.
利用该方法对非线性频响函数进行估计，并利用了最小二乘法对模型的非线性刚度系数和非线性阻尼系数进行了优化。
By which linear and nonlinear frequency response function was estimated, and nonlinear stiffness coefficient and damping coefficient of the model were optimized by least square method in this paper.
分别采用最小二乘法和神经网络方法对上述方程进行求解，推导出了关节动态刚度和阻尼的辨识模型。
Joint dynamic stiffness and damping were identified via solving the former identification model by use of least square method (LSM) or neural network method.
分别采用最小二乘法和神经网络方法对上述方程进行求解，推导出了关节动态刚度和阻尼的辨识模型。
Joint dynamic stiffness and damping were identified via solving the former identification model by use of least square method (LSM) or neural network method.
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