Karlman

有m台不同的机器，n个不同的工件。每个工件有多道工序，每道工序由指定的机器在固定的时间内完成。一道工序一旦开始处理，就不能中断。每台机器一次只能处理一道工序。一个调度就是决定每台机器上工序的处理顺序，使得机器完成所有工件的时间最短。具体的，该问题就是要求在满足（1）、（2）两个约束条件的前提下，确定每台机器上工序的顺序，使加工的时间跨度（从开始加工到全部工件都加工完所需要的时间）达到最小。其中，（1）表示工件约束条件：对每个工件而言，机器对它的加工路线是事先确定的；（2）表示机器约束条件：对每台机器而言，一次只能对一道工序进行加工。()

利用平面波法计算二维光子晶体能带结构，三角模型(calculation the band structure of Photonics crystal)

matlab概率论与数理统计WORD文档(matlab Probability Theory and Mathematical Statistics WORD document)

说明：  利用矩量法求解Hallen方程 画出场的电流分布(Hallen method of moment equations current distribution appearances painting)

提高MATLAB程序运行效率的方法大全。(A gathering of methods to shorten the processing time in MATLAB. )

基于2D和红外的异类传感器的数据融合算法，滤波器选用EKF扩展卡尔曼滤波(Based on the heterogeneous 2D and infrared sensor data fusion algorithm, filter selection EKF extended Kalman filter)

此程序是基于MATLAB开发，用于相机标定，能较高精度的计算相机的内网外房外元素(This program is developed based on MATLAB for camera calibration, can be calculated with high accuracy within the network, the camera outside the room element)

本程序基于visual C++ 实现标准正态分布，正态分布累积函数，正态分布累积函数的逆函数分别输出到不同表，是仿真实验的很好参考！(This procedure based on visual C++ Achieve the standard normal distribution, the cumulative distribution function, the cumulative distribution function of the inverse function of the respective output to a different form, is a good reference simulation!)

时频分布显示源代码.适合于非稳态的时频联合分析,可直接用于MATLAB编程,无解压密码.(time-frequency distribution shows that the source code. Suited to the non-steady-state joint time-frequency analysis can be used directly in MATLAB programming, without extracting passwords.)

The BNL toolbox is a set of Matlab functions for defining and estimating the parameters of a Bayesian network for discrete variables in which the conditional probability tables are specified by logistic regression models. Logistic regression can be used to incorporate restrictions on the conditional probabilities and to account for the effect of covariates. Nominal variables are modeled with multinomial logistic regression, whereas the category probabilities of ordered variables are modeled through a cumulative or adjacent-categories response function. Variables can be observed, partially observed, or hidden.