Description: Parameter identification, iterative calculation, can identify all kinds of classical models is the parameter, classical least square method a

Description: parameter estimation
wurui1611 2019-12-10 20:36:06
Description: The least square method is a mathematical optimization technique. It finds the best function match of data by minimizing the square sum of error. By using the least square method, unknown data can be easily obtained, and the sum of squares of the errors between the obtained data and the actual data can be minimized. The least square method can also be used for curve fitting.
chixiaohang 2019-12-02 12:33:11
Description: Least square polynomial fitting
zml.qq 2019-11-25 16:29:44
Description: zuixiaoerchengfasuanfa
qli 2019-11-15 08:59:54
Description: This tutorial is devoted to discussion of the computational methods used in numerical linear algebra. Topics discussed include, matrix multiplication, matrix transformations, numerical methods for solving systems of linear equations, the linear least squares, orthogonality, singular value decomposition, the matrix eigenvalue problem, and computations with sparse matrices.

Description: The least square method) to write a program to realize the function in the sense of least square fitting data table:Output format: a = XXXX, b= XXXX, mean square error

Description: A smooth method first mentioned by Savitzky and Golay in the paper Abraham Savitzky & Marcel J. E. Golay. Smoothing and Differentiation of Data by Simplified Least Squares Procedures. Analytical Chemistry.1964,36(8):1627-1639.
w1950927008 2019-08-10 17:15:40
Description: Using Python to implement the least square method, all deep learning algorithms begin with this mathematical formula.

Description: Delphi realizes the least square method and multi-point fitting. At present, it supports four-point fitting.

Description: zuixiaoerchengfa shihe chuxuezhe daimajiandanyidong

Description: this is a least square method about visual basic
lanm_cn1 2019-06-18 12:25:12
Description: delphi curve fitting fitting a curve; least square method;

Description: The least squares fitting program is programmed by using MATLAB, and the color of the marker or the color of the lines around the marker (small circle, square, prism, pentagon, hexagonal star and triangle in four directions) is specified. Take the values in the table above. In all commands that generate lines, the parameter LineSepc defines the following three attributes of a line: line type, marker symbol, and color.
Description: Least squares system identification, machine learning, model identification with fading memory

Description: That's the least squares method in numerical analysis
sajdfjkla 2019-06-10 10:19:06
Description: Realizing Least Square Method

Description: Least square method (also known as least square method) is a mathematical optimization technology. It searches for the best function matching of data by minimizing the sum of squares of errors. The least square method can be used to obtain the unknown data easily and minimize the sum of the errors between the obtained data and the actual data. The least square method can also be used for curve fitting. Other optimization problems can also be expressed by least square method by minimizing energy or maximizing entropy.

Description: RLS example Least squares mathematical program and its algorithm simulation, detailing the least squares process

Description: recursive least squares