1) Least-squares linear fitting 最小二乘线性拟合 2) nonlinear least-squares regression 非线性最小二乘拟合 1. The blending coefficients of tobacco flavors were calculated by nonlinear least-squares regression based on the datum of area of chromatography peaks which were determinated by high perfor...
The Inertia Matrix in Least-Squares Linear Fittinghttps://www.airitilibrary.com/Publication/alDetailedMesh?DocID=WFHYXW58253文章暂无收录摘要广东工业大学;中国工程图学学会The 11th International Conference on Geometry and Graphics(第11届几何与图学国际会议)...
For nonlinear least squares fitting to a number of unknown parameters, linear least squares fitting may be applied iteratively to a linearized form of the function until convergence is achieved. However, it is often also possible to linearize a nonlinear function at the outset and still use linea...
Noun1.least squares- a method of fitting a curve to data points so as to minimize the sum of the squares of the distances of the points from the curve method of least squares statistics- a branch of applied mathematics concerned with the collection and interpretation of quantitative data and...
and there are many scholars have made study of improving it.The authors made further improvement on least-squares method and proposed a new piecewise linear fitting algorithm instead of polynomial curve fitting.The new algorithm achieves the goal of simplifying the mathematical model,reducing the ...
引言 本文主要是针对《Least-Squares Fitting of Two 3-D Point Sets》论文SVD求解旋转矩阵中推导过程中使用到的一些线性代数相关的内容做一些说明,具体算法实现不是很复杂,也有很多其他博客可以参考,比如参…
这篇paper的最大亮点无疑是将Least-Squares Fitting方法加入到Network中,并利用其可微的性质设计出了area loss实现了back propagation,证明了直接回归拟合参数的可行性,开拓了新的思路。 但该方法还存在很多可以改进的地方,例如:(1)只能做固定条数的车道线,文章中提到做少量的车道线效果会更好(2)拟合结果依赖于上一...
In a previous post, I introduced the theory behind the method of least squares and showed how it can be used to solve systems of equations with no unique solution.Now, I want to look at one of its most practical applications: least squares fitting. In this tutorial, we’ll perform ...
最小二乘(Least squares)的含义就是在整体的优化方案中,最小化每个方程结果的残差平方和。 最小二乘法主要包含了两大类方法,一种是线性最小二乘法(Linear Least Squares),一种是非线性最小二乘法(Nonlinear Least Squares)。 线性最小二乘法主要包括如下三种类型: ...
必应词典为您提供least-squares-fitting的释义,un. 最小二乘法拟合;用最小二乘方拟合; 网络释义: 最小二乘拟合;