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Description: 在matlab中编程实现的正交多项式最小二乘拟合函数,调用格式：a=zjzxec(x,y,m)-In the matlab programming in the orthogonal polynomial least squares fitting function, call format: a = zjzxec (x, y, m)
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Size: 1024 |
Author: 刘荣 |
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Description: 该算法是用正交多项式来求最小二乘拟合多项式。-This algorithm is to use orthogonal polynomials to seek least-squares polynomial fitting.
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Size: 1024 |
Author: apple |
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Description: 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
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Size: 6144 |
Author: gleeman |
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Description: 离散试验数据点的正交多项式最小二乘拟合，源程序-Discrete experimental data points orthogonal polynomials least squares fitting
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Size: 1024 |
Author: 王习 |
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Description: 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
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Size: 8192 |
Author: houguoq |
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