网络最小二乘法 网络释义 1. 最小二乘法 什么意思_英语least_squares在线翻译... ... ahemating least-squares 交替最小二乘法least-squares procedure最小二乘法... dict.youdao.com|基于2个网页
The least-squares procedure for gradient fitting within an unstructured flow solver requires the selection of a cloud of local points, referred to as a stencil. In this paper, we present the choice of least-squares stencil for both the flow field reconstruction for convective fluxes and viscous ...
Outliers是偏离直线太远的值 influential observation: a data point whose removal causes the regression equation (and line) to change considerably Eg.在加入(2,169)前后的直线发生了巨大变化,所以(2,169)是一个influential observation 解决办法: 1.缩小x的range 2.添加influential observation周围的点 Nonetheless...
A method is described which is often able to complete and refine a structure model by using an automatic least-squares procedure applicable to reflection integrated intensities. A weighting scheme has been devised that is capable of taking into account the lower accuracy of the estimates of the ...
Using this procedure stability conditions are derived for genera... MR Crisci,VB Kolmanovskii,E Russo,... - 《Computers & Mathematics with Applications》 被引量: 73发表: 1998年 Solution of a partial integro-differential equation arising from viscoelasticity Partial integro-differential equations ...
An iterative least-squares procedure for computer analysis of isotropic exchange-broadened ESR line shapes is outlined. A fictitious system exchanging among four different sites has been analysed by the computer program ESRCEX showing the reliability range of the parameter estimates. A second example de...
It allows one to decouple these errors through an alternate least-squares fitting procedure, thus accurately estimating phases, phase shifts, and ... H Guo,H Zhu - 《Applied Optics》 被引量: 0发表: 2023年 Truth in errors: a simple unifying relationship between least squares and maximum ...
So, when ‖F(x)‖ is small at the solution, an effective method is to use the Gauss-Newton direction as a basis for an optimization procedure. At each major iteration k, the Gauss-Newton method obtains a search direction dk that is a solution of the linear least-squares problem mindk...
‘lsmr’ is suitable for problems with sparse and large Jacobian matrices. It uses the iterative procedurescipy.sparse.linalg.lsmrfor finding a solution of a linear least-squares problem and only requires matrix-vector product evaluations.
A Note on the Relation of Biot\"s Method in Heat Conduction to a Least-Squares Procedure None - 《Journal of the Aerospace Sciences》 被引量: 0发表: 1960年 A note on the method of least squares for linear approximation Not Available CM Huang - 《Journal of Atmospheric & Terrestrial ...