很好用的一款曲线拟合 插值小工具 界面简洁 操作方便

最小二乘法曲线拟合C语言可执行代码

这个软件是一个非常强大的根据数值找出其中数学规律的工具。对于给定的一组数据（x,y），它可以用上百种模型（函数公式）去匹配，找出其中误差最小的几个供你挑选,也可以自定义函数拟合。

ct. 18, 1995 v. 1.00 =========================================================================== + First release of CurveExpert 1.0. Oct. 26, 1995, v. 1.01 =========================================================================== New Features: + More attractive help file, with more keywords for searching + new help search facility available directly from CurveExpert Bug Fixes: + If a polynomial was already calculated, selecting another polynomial of a differing degree incorrectly pulled results from the cache instead of recalculating the curve fit. Fixed. + running two versions of CurveExpert is prevented, since two simultaneous instances cause stack faults. + if the data set is sorted, all interpolations are now marked invalid as they should be. + "Apply to All" did not necessarily force the current attributes of a graph to the current graph (only if the user clicks OK). Fixed. + The scrollbar did not get reset to the top when the user read in a new data file. Fixed. + The structure of the code has been undergone some major changes to ease porting to Windows 95 and Windows NT. I was exceedingly careful, but I hope this didn't introduce new bugs! :-) + For some reason, the help file didn't have any single or double quotes in it. This has been corrected, so it is now easier to read. + The help file was not terminated when CurveExpert was. Fixed. + The Window and Help menus were moved to more conventional positions on the menu bar. Nov. 4, 1995, v. 1.10: =========================================================================== New Features: + Previously undocumented logical functions can be used in the user-defined models. See the help documentation. + Current filename now appears in the title bar. + QuickCalc has been expanded to find the x-value, given the y-value. + Optimizations have

函数逼近与曲线拟合，拟合的结果与拉格朗日插值及样条插值的结果比较 复化梯形方法；2.复化辛甫森方法；3.复化高斯方法，求解第二类Fredholm积分方程 高维积分数值计算的蒙特卡罗方法，分别用积分和测度两种不同角度，通过蒙特卡罗方法求冰激凌的体积 病态的线性方程组的求解，选择病态问题的维数为6，分别用Gauss消去法、J迭代法、GS迭代法和SOR迭代法求解方程组，及其比较

MATLAB曲线拟合代码 只要改变代码中ui uo内值，便可进行所需拟合，拟合后可通过workspace查看直线参数

已知插值点，反求控制点来拟合NURBS拟合。interpolate是Nurbs曲线拟合，conn_interpolate实现曲线顺接还未完成，程序主体是CSDN下载b样条拟合，在些基础修改和完美。（无分确需要的可电邮：zglore#163.com）

本文基于传统的传染病模型，以微分方程的方法作为理论基础，结合采取的措施不同的情况，用MATLAB软件拟合出患者人数与时间的曲线关系，从中得出应采取的相应的应对措施。 在考虑地区总人数不变，人群被分为五类：确诊患者、疑似患者、治愈者、死亡和正常人，再将这几类分为可传染性和不可传染性两种。我们找出单位时间内正常人数的变化、单位时间内潜伏期病人数的变化、单位时间内确诊患者人数的变化、单位时间内退出的人数的变化、单位时间内疑似患者人数的变化等关系建立微分方程模型，得到病毒扩散与传播的控制模型。 在此基础上，我们将所要求的问题带入模型得到患者人数随时间变化的曲线图，根据这图形得出模型结果的变化。这样一来就可根据这结果的变化得出相应的应对措施。 此外对该传染病的潜伏期及治愈期进行了灵敏度分析，发现潜伏期的变化会对整个模型的结果产生较大影响，而治愈期的变化只会使传染病的持续时间缩短，但对累积的患病人数影响不大。 应尽量避免患者与正常人接触，减少正常人患病的可能性；加大隔离措施强度；减少拖延患者去住院的时间，让患者及时住院治疗。养成良好的卫生习惯，保证科学睡眠，适当锻炼，减少压力，保证营养，增强个人抵抗力，降低被病毒感染的危险。

一阶惯性加延迟环节的matlab曲线拟合，利用最小二乘法原理

很好用的洛伦兹曲线拟合的源代码，已经验证可以完全调通