Least_Square_Fitting_Line(最小二乘实现直线拟合)是一种用于数据拟合的常见方法。该方法通过在平面直角坐标系中画出一条直线,以尽可能准确地描述数据点的分布情况。 在使用该方法时,首先需要确定一条直线的方程。假设我们要拟合的直线方程为 y = kx + b,其中 k 和 b 分别表示直线的斜率和截距。 然后,根据...
least square data fitting 英 [liːst skweə(r) ˈdeɪtə ˈfɪtɪŋ] 美 [liːst skwer ˈdeɪtə ˈfɪtɪŋ]【计】最小乘方数据拟合 ...
least square fitting 英 [liːst skweə(r) ˈfɪtɪŋ] 美 [liːst skwer ˈfɪtɪŋ]网络 最小二乘拟合; 最小二乘法拟合; 最小二乘法; 拟合; 最小方差拟合 ...
square adj. 1. 正方形的,四方的 2. 成直角或近似直角的,方的 3. 宽阔结实的 4. 妥当, 整洁 5. 水平,平行;结清的,已付的,收支相抵的 6. 平方的 7. 干脆的,坚决的 fitting on 安装 fitting in 配合 fitting on,fitting out 【化】 装配 continuity fitting 连续性部件 curve fitting 选配曲线...
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...
Example 1: Least Squares Straight-Line FitSuppose we’re given these data points for a least squares line fitting problem:(1,1),(2,3),(3,3)=(x(1),y(1)),(x(2),y(2)),(x(3),y(3))(1,1),(2,3),(3,3)=(x(1),y(1)),(x(2),y(2)),(x(3),y(3))...
1) linear least square fitting 线性最小二乘拟合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 ...
Whittaker, E. T. and Robinson, G. "The Method of Least Squares." Ch. 9 in The Calculus of Observations: A Treatise on Numerical Mathematics, 4th ed. New York: Dover, pp. 209-, 1967.York, D. "Least-Square Fitting of a Straight Line." Canad. J. Phys. 44, 1079-1086, 1966....
When, Equal ErrorsEq, FromSoulie E., Berclaz T. & Geoffroy M. (1996). Compari- son of two algorithms for non-linear least square fit- ting. AIP Conference Proceedings, Eds. Bernardi F., Rivail J. L., Computational Chemistry, 330, p. 627....
Projection Matrix Example 16.1 Line fitting, find the best fit under least square. Equations are: Matrix format: Minimize:‖Ax−b‖2=‖e‖2=(C+D−1)2+(C+2D−2)2+(C+3D−2)2 Find the partial derivitive with respect toCandD, and compare all the stagnation points to find minimu...