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DOA估计：最大熵算法、最小模算法、最小方差算法。输入： 快拍数据协方差矩阵R，观察范围内各方向导向矢量，三维矩阵phiyz。输出：最小方差谱估计矩阵P。(DOA Estimation: maximum entropy algorithm, the minimum norm algorithm, the minimum variance algorithm. Input: snapshot of the data covariance matrix R, the steering vector of each direction in the observed range of three-dimensional matrix phiyz. Output: the minimum variance spectral estimation matrix P.)

java编写九九乘法表 1*1=1 2*1=2 2*2=4 3*1=3 3*2=6 3*3=9 4*1=4 4*2=8 4*3=12 4*4=16 5*1=5 5*2=10 5*3=15 5*4=20 5*5=25 6*1=6 6*2=12 6*3=18 6*4=24 6*5=30 6*6=36 7*1=7 7*2=14 7*3=21 7*4=28 7*5=35 7*6=42 7*7=49 8*1=8 8*2=16 8*3=24 8*4=32 8*5=40 8*6=48 8*7=56 8*8=64 9*1=9 9*2=18 9*3=27 9*4=36 9*5=45 9*6=54 9*7=63 9*8=72 9*9=81 (Multiplication table 1*1=1 2*1=2 2*2=4 3*1=3 3*2=6 3*3=9 4*1=4 4*2=8 4*3=12 4*4=16 5*1=5 5*2=10 5*3=15 5*4=20 5*5=25 6*1=6 6*2=12 6*3=18 6*4=24 6*5=30 6*6=36 7*1=7 7*2=14 7*3=21 7*4=28 7*5=35 7*6=42 7*7=49 8*1=8 8*2=16 8*3=24 8*4=32 8*5=40 8*6=48 8*7=56 8*8=64 9*1=9 9*2=18 9*3=27 9*4=36 9*5=45 9*6=54 9*7=63 9*8=72 9*9=81 )

无约束优化问题的阻尼牛顿法python代码(Damped Newton Python code for unconstrained optimization problems)

excel宏的SPI计算，降水指数。非常详细的说明(The excel macro SPI precipitation index. Very detailed description of)

用牛顿迭代法估计正弦信号的幅度，相位，频率，选用多次montecalor算法估计参数均值，并与理论上参数估计的CRLB下限进行比较。(Newton iterative method estimates the sinusoidal signal amplitude, phase, frequency, use multiple montecalor algorithm to estimate the parameters mean, and with the theoretical limit of parameter estimation CRLB compare.)

线弹性模型，可以对一般的弹性体通过abaqus进行验证使用(Linear elastic model)

QT编写功能及界面，实现功能：加、减、乘、除、连加、连减、连乘、连除、加减乘除混合运算、除零报错等功能，代码简单清晰，适用于刚刚接触QT的人(QT write functions and interface functionality: add, subtract, multiply, divide, even increase, even less, and even multiply, even in addition, subtraction, multiplication and division mixed operations, in addition to the zero error function, the code is simple and clear, suitable for just contact The QT)

对于应用数学专业学习非线性混沌控制的学生非常有用，可以下载并尝试自己动手改变后半部分，就能应用于新系统中(For students applied mathematics learning nonlinear chaotic control is very useful, you can download and try yourself to change the second half, will be able to be applied to the new system)

用C语言来求解n维线性方程组的解，即高斯消元法求解线性方程组(Gaussian elimination method with n-dimensional linear equations)

说明：  基于矩阵QR分解的最小二乘拟合MATLAB源程序(based on QR decomposition of the matrix least squares fitting MATLAB source )