Elementary_Mathematical_Using0MATLAB

说明：  de Boor 求值算法求作二次和三次B-样条曲线非插值，给定顶点(algorithm evaluates demand for secondary and cubic B-spline- curve interpolation, given vertex)

Image zooming using directional cubic convolution interpolation

模拟长周期光纤光栅（LPG）的损耗波的光谱特性(The loss of analog spectrum LPG )

Bresenham algorithm, platform matlab.

射线追踪的仿真小程序最多可以模拟三次反射,可以出仿真图(it is a program of raytracing and simulation figure could be made)

基于二阶导数的图像边缘检测方法，包括marr算法和laplacian算法(Second derivative-based edge detection methods, including marr algorithms and laplacian algorithm )

说明：  本程序用于完成BPSK、QPSK、pi/4QPSK、OQPSK、8PSK、16QAM、32QAM、64QAM和128QAM的调制仿真。并可任意扩展到MPSK和MQAM。程序分成四个部分，fir.m对基带码元序列进行脉冲成型，可选矩形脉冲，升余弦脉冲和平方根升余弦脉冲； modal.m 为主程序，完成岁各种信号的基带星座图映射、脉冲成型和调制；pi4QPSK.m 为pi/4QPSK信号的星座图映射程序；test1.m给出一个简单的频谱显示测试。(This procedure for the completion of BPSK, QPSK, pi/4QPSK, OQPSK, 8PSK, 16QAM, 32QAM, 64QAM and the modulation 128QAM simulation. Arbitrary and may be extended to MPSK and MQAM. Procedures are divided into four parts, fir.m of baseband symbol pulse sequences forming, optional rectangular pulse, raised cosine square root raised cosine pulse and pulse modal.m-based procedures, the completion of the age range of the base-band signal constellation diagram mapping, pulse shaping and modulation pi4QPSK.m for pi/4QPSK signal constellation diagram mapping procedures test1.m given spectrum shows a simple test.)

This program is used for Count the number of character in line

说明：  遗传算法车间调度,车间作业调度问题遗传算法 -------------------------------------------------------------------------- 输入参数列表 M 遗传进化迭代次数 N 种群规模(取偶数) Pm 变异概率 T m×n的矩阵，存储m个工件n个工序的加工时间 P 1×n的向量，n个工序中，每一个工序所具有的机床数目 输出参数列表 Zp 最优的Makespan值 Y1p 最优方案中，各工件各工序的开始时刻，可根据它绘出甘特图 Y2p 最优方案中，各工件各工序的结束时刻，可根据它绘出甘特图 Y3p 最优方案中，各工件各工序使用的机器编号 Xp 最优决策变量的值，决策变量是一个实数编码的m×n矩阵 LC1 收敛曲线1，各代最优个体适应值的记录 LC2 收敛曲线2，各代群体平均适应值的记录 最后，程序还将绘出三副图片：两条收敛曲线图和甘特图（各工件的调度时序图）(Genetic algorithm scheduling, job shop scheduling problems with genetic algorithms -------------------------------------------------------------------------- genetic evolution of the input parameter list, the number of iterations M N population size (taken even) Pm mutation probability T m × n matrix, stored m one piece n a process of processing time 1 × n vector, n a process in which each machine processes the number of Zp with the best value Y1p Optimal Makespan programs, the start time of each process the workpiece can be drawn based on its optimal solution Gantt Y2p, each time the workpiece end of the process, according to its draw Gantt Y3p optimal solution, each piece of the processes using machine code Xp optimal decision variable, decision variable is a real m × n matrix encoded LC1 convergence curve 1, the generation of the best individual record of LC2 fitness convergence curve 2, the average fitness value on behalf of groups record Finally, the program will draw three pict)

多元线性回归算法，能将多个线性的物质之间的变量和自变量之间建立相关度高的线性回归方程。(Multiple linear regression algorithm, can the variables and between multiple linear material to set up linear regression equation with high correlation between independent variables. )