case10year

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)

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,)

分数阶chen系统仿真 在matlab中运行，可实现分数阶chen系统的混沌模型( simulation of fractional order chen system ， simulation of fractional order chen system )

基于Levenberg-Marquardt的曲线/面拟合(C library for Levenberg-Marquardt least-squares minimization and curve fitting)

求解KZK方程的VISUAL C++源代码 具有计算速度快，计算精度高等优点。(source code solution of KZK equation visual c++)

maple学习资料，以后学习maple就不用担心了(maple learning materials)

非常好的源代码,用于ADC FFT的例子(VERY GOOD SOURCE CODE FOR ADC FFT)

动力缩聚后的结构刚度、质量矩阵，以及频率(Dynamic stiffness after condensation, mass matrix, and the frequency)

说明：  模糊指数平滑算法源程序,进行预测 计算.(fuzzy exponential smoothing algorithm source for projection.)

这是几篇关于粒计算在故障诊断中的应用，对学习粒计算的应用很有帮助。(This is a few on Granular Computing in Fault Diagnosis of learning the application of granular computing helpful.)