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[Algorithm] multifit DL : 0: 功能：离散试验数据点的多项式曲线拟合调用格式：A=multifit(x,y,m) 其中：x: 试验数据点的x坐标向量　　　Y: 试验数据点的y坐标向量 m: 拟合多项式的次数 -Functions: discrete experimental data points, the polynomial curve fitting call format: A = multifit (x, y, m) where: x: experimental data points, x-coordinate vector Y: experimental data points y coordinates of vector m: Fitting the number of polynomials
Update : 2025-04-04 Size : 3kb Publisher : 刘荣
[matlab] 5 DL : 0: Chebyshev 用切比雪夫多项式逼近已知函数 Legendre 用勒让德多项式逼近已知函数 Pade 用帕德形式的有理分式逼近已知函数 lmz 用列梅兹算法确定函数的最佳一致逼近多项式 ZJPF 求已知函数的最佳平方逼近多项式 FZZ 用傅立叶级数逼近已知的连续周期函数 DFF 离散周期数据点的傅立叶逼近 SmartBJ 用自适应分段线性法逼近已知函数 SmartBJ 用自适应样条逼近（第一类）已知函数 multifit 离散试验数据点的多项式曲线拟合 LZXEC 离散试验数据点的线性最小二乘拟合 ZJZXEC 离散试验数据点的正交多项式最小二乘拟合 -Interpolation function
Update : 2025-04-04 Size : 6kb Publisher : gleeman
[Algorithm] multifit DL : 0: 各种函数逼近的拟合算法，包括各种拟合函数，里面有各种算法的完整实现-The fitting various function approximation algorithms, including a variety of fitting functions, which have a full implementation of the various algorithms
Update : 2025-04-04 Size : 7kb Publisher : 陈萌
[Windows Develop] expression-functions DL : 0: 切比雪夫用切比雪夫多项式逼近已知函数勒让德用勒让德多项式逼近已知函数帕德用帕德形式的有理分式逼近已知函数 lmz 用列梅兹算法确定函数的最佳一致逼近多项式 ZJPF 求已知函数的最佳平方逼近多项式方舟子用傅立叶级数逼近已知的连续周期函数事实上的部队离散周期数据点的傅立叶逼近 SmartBJ 用自适应分段线性法逼近已知函数 SmartBJ 用自适应样条逼近（第一类）已知函数 multifit 离散试验数据点的多项式曲线拟合 LZXEC 离散试验数据点的线性最小二乘拟合 ZJZXEC 离散试验数据点的正交多项式最小二乘拟合-Chebyshev Chebyshev polynomial approximation with a known function of Legendre Legendre polynomial approximation of a known function with Pade Pade form of rational fraction approximation of the best known function is consistent with the function of determining lmz Lie Meizi algorithm best square approach polynomial ZJPF seek known function approximation polynomial approximation Fang continuous cycle function known DFF discrete periodic data points Fourier Fourier series approximation of a known function approximation SmartBJ SmartBJ adaptive piecewise linear method adaptive spline approximation (first class) known function multifit discrete experimental data points polynomial curve fitting LZXEC discrete linear least squares fit of the experimental data points ZJZXEC discrete experimental data points orthogonal polynomials least squares fitting
Update : 2025-04-04 Size : 8kb Publisher : houguoq