nonlinear least squares fitting基本解释 非线性最小平方拟合 分词解释 nonlinear非线性的 least最小的 squares平方( square的名词复数 ) fitting试穿,试衣猜你喜欢 fitting on穿上合适:指衣物或鞋子等能够穿戴上并且合适。 fitting screw紧配连接螺栓,装配螺钉 brass fittings黄铜配件 curve fitting曲线拟合(法) data...
nonlinear-least-squares-fitting网络非线性最小平方拟合 网络释义 1. 非线性最小平方拟合 非线性最小平方,non... ... ) non-linear least squares 非线性最小平方 ) nonlinear least squares fitting 非线性最小平方拟合 ... www.dictall.com|基于1 个网页©...
The parameters of fit were determined by using a nonlinear least-squares fitting based on the Marquardt`s algorithm. The program takes into account of low energy tail and escape peaks. The program was employed for the analysis of PIXE spectra of geological and biological samples. The peak areas...
1) nonlinear least squares fitting 非线性最小平方拟合2) Floquet model expansion 线性最小平方拟合 1. 6,in full wave analysis,we propose using Floquet model expansion, which we used in our previous paper~([7]) wit. 对任意形状单元的FSS结构,采用并联组合形式的LC等效电路,并通过全波模式展开...
Solve nonlinear least-squares (curve-fitting) problems in serial or parallelNonlinear least-squares is solving the problem min(∑||F(xi) - yi||2), where F(xi) is a nonlinear function and yi is data. The problem can have bounds, linear constraints, or nonlinear constraints. These problems...
These problems mainly involve (knowledge of) the error structure, as the error structure determines the weighting scheme of the data points in fitting procedures. A simple, robust, statistically correct non-linear least squares (NLLS) method is reintroduced which is based on the visualization of ...
We describe an intuitive and rapid procedure for analyzing experimental data by nonlinear least-squares fitting (NLSF) in the most widely used spreadsheet program. Experimental data in x/y form and data calculated from a regression equation are inputted and plotted in a Microsoft Excel worksheet, ...
Copy CodeCopy Command This example shows how to perform nonlinear least-squares curve fitting using theProblem-Based Optimization Workflow. Model The model equation for this problem is y(t)=A1exp(r1t)+A2exp(r2t), whereA1,A2,r1, andr2are the unknown parameters,yis the response, andtis time...
A. H., and Atkins, D., 1995, A multispectrum nonlinear least squares fitting technique, J. Quant. Spectrosc. Radiat. Transfer 53: 705–721.Benner DC, Rinsland CP, Devi VM, Smith MAH, Atkins D. A multispectrum nonlinear least squares fitting technique. J. Quant. Spectrosc. Radiat. ...
Powell’s method-based nonlinear least-squares data fitting for the Mittag-Leffler relaxation functiondoi:10.1177/1081286515616284The Mittag-Leffler relaxation function, Eα(−x), with 0≤α≤1, plays an important role in the fractional viscoelastic models. The Mittag-Leffler function is an ...