2D Weighted Polynomial Fitting and Evaluation
无许可证
polyfitweighted2.m and polyval2.m
---------
polyfitweighted2.m: Find a least-squares fit of 2D data z(x,y) with an n th order polynomial, weighted by w(x,y).
polyval2.m: Evaluate 2D polynomial produced by polyfitweighted2.m.
Usage polyfitweighted2
-----
P = polyfitweighted2(X,Y,Z,N,W) finds the coefficients of a polynomial P(X,Y) of degree N that fits the data Z best in a least-squares sense. P is a row vector of length (N+1)*(N+2)/2 containing the polynomial coefficients in ascending powers, 0th order first.
P = [p00 p10 p01 p20 p11 p02 p30 p21 p12 p03...]
where pNM is the polynomial coefficient of the Nth power of X times the Mth power of Y.
based on polyfit.m by The Mathworks Inc.
For more information see HTML-published M-file included.
Note: P is not in the format of standard Matlab 1D polynomials. Use polval2.m to evaluate the polynomial in this format, at given values of x,y.
Usage polyval2
---
Z = POLYVAL2(P,X,Y) returns the value of a 2D polynomial P evaluated at (X,Y). P is a vector of length (N+1)*(N+2)/2 containing the polynomial coefficients in ascending powers as above.
引用格式
Salman Rogers (2024). 2D Weighted Polynomial Fitting and Evaluation (https://www.mathworks.com/matlabcentral/fileexchange/13719-2d-weighted-polynomial-fitting-and-evaluation), MATLAB Central File Exchange. 检索来源 .
MATLAB 版本兼容性
平台兼容性
Windows macOS Linux类别
- MATLAB > Mathematics > Elementary Math > Polynomials >
标签
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!polyfitweighted2/
版本 | 已发布 | 发行说明 | |
---|---|---|---|
1.0.0.0 | minor edit to improve discription |