jisuanqi

Python bindings for CUDA 2.1 with numpy integration

C语言矩阵求逆模块,输入矩阵调用此模块即可求出对应的逆矩阵(C language matrix inversion module)

数值分析里面的：不动点迭代法、牛顿迭代法、共轭梯度法和最速下降法(Conjugate Gradient)

最小二乘法拟合进行n次多项式拟合，N用来控制拟合的次数，例如N=5时进行4次多项式拟合，还回的是拟合系数(Least squares fit polynomial n times, N is used to fit the number of control, e.g., N = 5 When quartic polynomial fitting, further back are fitting coefficients)

考虑地球J2项摄动的轨道积分器，变步长，基于龙格库塔78阶，(orbital integrator considering the J2 pertubation, based on the Runge-Kutta 78 integrator, use automatic step control)

针对多期随机规划问题，利用情景树方法来求解(For multi-period stochastic programming problems, the use of scenarios to solve Tree)

有限元法求解泊松方程，用matlab编写的计算程序(Finite element method for solving Poisson)

用欧几里得算法求两个自然数的最大公约数通过c语言实现(Using Euclidean Algorithms to Find the Maximum Common Number of Two Natural NumbersRealization by C Language)

利用龙格库塔法（等步长，变步长）计算椭圆方程，双曲线方程，抛物线方程等。对各类微分方程进行数值计算。(The use of Runge-Kutta method (such as step, variable step size) calculated elliptic equations, hyperbolic equations, such as parabolic equation. Various types of differential equations for numerical calculation.)

己知一些离散的点，使用matlab利用最小二乘法拟合(Had a number of discrete points, with linear least squares fitting)