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a
- 矩阵与数值分析:高斯法,高斯列主元法,G_S迭代,牛顿法,jacobi迭代法,G-S迭代法 ,牛顿法求根,三次样条插值,多项式拟合,复化Simpson方法,复化梯形方法,n=3的Gauss_Lengendre公式,4阶Runge-Kutta法求解微分方程-Matrix and numerical analysis: Gauss method out PCA Gaussian law, G_S iteration, Newton' s method, jacobi iterative m
chazhi
- 详细介绍了matlab插值与拟合方法,包括拉格朗日多项式插值、牛顿插值、分段线性插 值、Hermite 插值和三次样条插值和曲线的最小二乘拟合、多项式拟合方法、最小二乘优化所有程序均有相应的说明与应用实例-Details of the matlab interpolation and fitting methods, including Lagrange polynomial interpolation, Newton interpolation, piecewise linear inte
Newton-SSpline
- 观察高次插值多项式的龙格现象: 给定函数f(x)=1/(1+25x^2)(-1<x<1).取等距节点,构造牛顿插值多项式N5(x)和N10(x)及三次样条插值函数S10(x)。分别将三种插值多项式与f(x)的曲线画在同一坐标系上进行比较-Observation of high order polynomial interpolation Runge phenomenon: the given function f (x) = 1/(1+25x ^ 2) (- 1 <x<
newTon
- 牛顿插值多项式源代码;三次样条插值多项式源代码;(Newton interpolation polynomial source code; three spline interpolation polynomial source code;)