龙格库塔求解微分方程数值解,非常有用的解题方法,一定会用到
Runge-Kutta 's numerical solution to the differential equation, a very useful method of solving a problem, must be used. (2018-11-23, Dev C++, 194KB, 下载0次)
r 双精度实型一维数组,存放Yule-Walker方程的元素r(0),r(1), r(p), p AR模型阶数, a AR模型系数a(
R one dimensional array of double precision real type, storing elements of Yule-Walker equation r (0), r (1), r (p), p AR model order), a AR model coefficient a ( (2018-11-18, Dev C++, 23KB, 下载1次)
四阶龙格库塔算法。deltaT为积分步长，XX为X_k,X_next为X_k+1，Control以及Param为用户可选参数。微分方程在deriv中定义。
RungeKutta,where deltaT refers to the step size, XX refers to X_k, X_next refers to X_k+1, Control and Param is user defined parameters. The differential equation should be defined in the deriv function. (2015-09-11, Dev C++, 1KB, 下载3次)