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有限差分法 微分方程和积分微分方程数值解的方法。基本思想是把连续的定解区域用有限个离散点构成的网格来代替， 这些离散点称作网格的节点；把连续定解区域上的连续变量的函数用在网格上定义的离散变量函数来近似；把原方程和定解条件中的微商用差商来近似， 积分用积分和来近似，于是原微分方程和定解条件就近似地代之以代数方程组，即有限差分方程组 ， 解此方程组就可以得到原问题在离散点上的近似解。然后再利用插值方法便可以从离散解得到定解问题在整个区域上的近似解。 (Finite Difference Method Numerical solution of differential equations and integro-differential equation approach. The basic idea is to set a continuous solution of the region with a finite number of discrete points instead of a grid consisting of, these discrete points called grid nodes the solution of a continuous area on a given function of continuous variables used in the definition of discrete grid variable function approximation the original equation and boundary conditions in the micro-business operators to approximate differential, integral with the points and to approximate, so the original differential equations and boundary conditions are replaced by algebraic equations near Side, that is, finite difference equations , solve this equation group can get the original problem in discrete points on the approximate solution. And then using interpolation methods can be determined from the discrete solution of the problem solution of the approximate solution on the entire region)

用粒子群算法求解车间调度问题，包含甘特图的制作程序(Particle swarm optimization algorithm for job shop scheduling problem, including Gantt chart)

vpi photonics file 10 G NRZ optimization

对称Alpha稳定分布arima随机过程的产生与参数化谱估计M算法matlab程序(Symmetrical Alpha stable distributions of appearance and random process arima parametric spectral estimation M matlab algorithm )

HDMI 切换开关LT8631_Software,(HDMI HUB LT8631_Software,)

一维定长热传导方程，时间项采用向后差分，隐式求解。(One dimensional heat conduction equation of time length, using backward difference, implicit solution. )

使用矩阵计算方法的基于Massive MIMO的毫米波信道估计(Massive MIMO Channel Estimation for Millimeter Wave Systems via Matrix Completion)

load flow analysis using newton raphson method

matlab中的第12章 因子分析 （含有例子和源码）(Factor analysis in chapter 12)

这是一个用于负荷预测的灰色预测模型GM(1,1),希望对大家了解灰色预测模型及负荷预测有帮助(This is a gray prediction model for load forecasting GM (1,1), we want to understand the gray forecast model Type and load forecasting help)