CurveLab

bridge rectifier circuit that shows how out-of-phase the current is with respect to voltage

优化问题是工业设计中经常遇到的问题,许多问题最后都可以归结为优化问题. 为了解决各种各样的优化问题,人们提出了许多优化算法,比较著名的有爬山法、遗传算法神经网络算法等. (Optimization problem is often encountered in industrial design, many problems can be attributed to the last optimization problem in order to solve a variety of optimization problems, many optimization algorithms have been proposed, relatively well-known climbing method, genetic algorithm neural network algorithm.)

this m file concerning of the subject of interpolation in numerical math of engineering

说明：  这段代码的功能是生成高斯滤波器的，用matlab来实现的。(The code s function is to generate Gaussian filter with matlab achieved.)

基于凸优化方法的失配滤波器设计（MAC编码信号的脉冲压缩处理）(Mismatch filter design based on a convex optimization method (MAC encoded signal of the pulse compression processing))

遗传算法（Genetic Algorithm）是一类借鉴生物界的进化规律（适者生存，优胜劣汰遗传机制）演化而来的随机化搜索方法。

根据多层编码遗传算法原理，在matlab中编程实现基于多层编码遗传算法的车间调度算法(According to the principle of multi-coded genetic algorithm in matlab programming shop scheduling algorithm based on multi-coding genetic algorithm)

说明：  在matlab实现的zigbee源代码，并有相关论文做描述，比较全面(Zigbee achieved in the matlab source code, and have the relevant papers to do a description of a more comprehensive)

MATLAB is an integrated technical computing environment that combines numeric computation, advanced graphics and visualization, and a high-level programming language

该压缩包中包含的程序均在MATLAB下开发，从功能上分为两类。第一类名字中包含SVC的程序，主要用来对两类数据进行分类，并可以生成分类结果图。第二类名字中包含SVR的程序，主要用来对高维数据集进行预测，并可以生成预测结果图。该类程序可以很好地解决SVM中的分类及预测问题。(The archive contains the MATLAB program are under development, from the functions are divided into two categories. The first category name contains the SVC process, mainly two types of data used to classify and to generate classification result. The second category contains the name of the SVR procedures, mainly used for high-dimensional data sets to predict and can generate predictions map. The application can be a good solution in SVM classification and forecasting problems.)