Description: 理解函数插值与拟和的基本原理。掌握多项式插值、样条插值以及最小二乘法拟和的编程实现。-Interpolation and to understand the function and basic principles. Have polynomial interpolation, spline interpolation and least square method and the programming to be. Platform: |
Size: 239616 |
Author:小宁 |
Hits:
Description: 采用最小二乘法，样条差值等各种方法进行数值计算，并画出相应的图形-Using the least square method, spline method of difference and other numerical calculations and draw the corresponding graph Platform: |
Size: 3072 |
Author:王丽 |
Hits:
Description: 用切比雪夫多项式逼近已知函数
用勒让德多项式逼近已知函数
用帕德形式的有理分式逼近已知函数
用列梅兹算法确定函数的最佳一致逼近多项式
求已知函数的最佳平方逼近多项式
用傅立叶级数逼近已知的连续周期函数
离散周期数据点的傅立叶逼近
用自适应分段线性法逼近已知函数
用自适应样条逼近（第一类）已知函数
离散试验数据点的多项式曲线拟合
离散试验数据点的线性最小二乘拟合
离散试验数据点的正交多项式最小二乘拟合
-By using Chebyshev polynomial approximation of the known functionApproximation of the known functions by Legendre polynomialsApproximation by rational fraction of known function in the form of PadmaTo determine the best uniform function polynomial approximation with the Lemez algorithmThe best known polynomial square for function approximationContinuous periodic function with Fourier series approximation of the knownApproximation of discrete data points in the Fu Liye cycleApproximation of the known function with adaptive piecewise linear methodAdaptive spline approximation ( first class ) known functionPolynomial curve fitting of discrete data pointsLinear least squares fitting of discrete data pointsOrthogonal polynomial least squares fitting of discrete data points Platform: |
Size: 6144 |
Author:吕文旭 |
Hits:
Description: 三次B样条最小二乘拟合，附文献，Approximation of data using cubic B′ ezier curve least square fi tting，Author: M Khan-Cubic B-spline least squares fitting and literature. Approximation of data using cubic B ezier curve least square fitting, Author: M Khan, Platform: |
Size: 66560 |
Author:liuwz |
Hits:
Description: 用三次样条插值，最小二乘法，牛顿法做的一个数值计算，有源代码和具体例子-Using cubic spline interpolation, least square method, one of Newton s method to do numerical calculation, have the source code and specific examples Platform: |
Size: 173056 |
Author:曹艳青 |
Hits:
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 Platform: |
Size: 8192 |
Author:houguoq |
Hits:
Search - spline least square