运算复数

序列二次规划(SQP)方法被认为是解决非线性约束优化最有效的方法之一，传统的SQP算法每一步迭代都要求解QP子问题。 　　(Sequential two times programming (SQP) is considered to be one of the most effective ways to solve nonlinear constrained optimization. The traditional SQP algorithm requires QP iteration for every iteration.)

计算多项流的好程序，简单好用，计算量小。可以较好的模拟二维的两项变化情况(Calculating a number of streams of the program, easy to use, small amount of calculation. Can better simulate the two-dimensional variation)

现有的贪婪迭代类压缩感知重构算法均基于最小二乘对信号进行波形估计，未考虑到可能将量测噪声引入信号估计的情况．针对以上不足，提出了一种基于线性Kalman滤波的压缩感知弱匹配去噪重构算法(Existing greedy iterative reconstruction algorithms class compressed sensing the signal waveform based on least squares estimation does not take into account the possible introduction of the measurement noise signal estimation situation. For the above shortcomings, we propose a linear Kalman filter based on compressed sensing reconstruction algorithm denoising weak match)

说明：  Abaqus复合材料Hashin失效子程序(Failure subroutine of Hashin for ABAQUS composite)

仿真啁啾光栅投射及反射特性。建构于解析解的基础之上。(Properties of chirped fiber grating)

基于Matlab产生光纤陀螺随机噪声和信号，利用固定步长和可调步长的LMS自适应滤波、最小二乘法、滑动均值三种方法进行处理，最后用阿兰方差评价降噪效果。(FOG Based on Matlab generate random noise and signal, using a fixed step size and adjustable step size LMS adaptive filtering, least squares method, the sliding average of three methods for processing, and finally with Alan variance evaluation noise reduction.)

Python 科学计算 的好书,该书主要是在python环境下进行科学计算，非常的棒(Python scientific computing books, the book is mainly for scientific computing in python environment, is the bar)

用矩阵法求定积分1/(1+x^2)dx，区间是（-4，4）(Definite Integral Matrix Method)

Algorithm gauss seidel load flow

随机森林算法，适合初学者阅读，包括公式，资料，调试(Random forests algorithm, suitable for beginners to read, including formulas, data, commissioning)