shexianzhuizong

Traveling Salesman Problem (TSP) has been an interesting problem for a long time in classical optimization techniques which are based on linear and nonlinear programming. TSP can be described as follows: Given a number of cities to visit and their distances from all other cities know, an optimal travel route has to be found so that each city is visited one and only once with the least possible distance traveled. This is a simple problem with handful of cities but becomes complicated as the number increases.

中北大学电磁场电磁波课后题答案，很详细的(North University of electromagnetic waves after-school question answers, a very detailed)

k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。(k-means algorithm accepts input k then n data objects into k clusters in order to make clustering satisfy obtained: the objects in the same cluster high similarity different clustering object similarity small. Cluster similarity is the use of the mean of each cluster of objects that get a " central object" (center of gravity) to perform the calculation.)

2013数学建模研究生B题建立多项式模型代码(2013 graduate of mathematical modeling to establish polynomial model code B title)

时滞系统PID控制的matlab仿真源代码。适合入门学习。(Basic PID control matlab simulation source code. Suitable for study entry.)

Voltage Distribution of a Triangle (FEM & FDFD Method)

应用于化工原理中的数值法MATLAB 学习指南Kenneth Beers 化 (The principle applies to chemicals in the MATLAB numerical method of learning guides Kenneth Beers)

The Schumann resonance frequencies are a set of eigenmodes in the extremely low frequency (ELF) portion of the electromagnetic field spectrum. These frequencies are only present for planetary-like bodies with a substantial ionosphere acting as a perfect electric conductor, thus forming a resonance cavity with the surface. In this example, the Schumann resonance frequencies for the Earth are calculated.

基于MATLAB的语音信号的调制和解调，包括画出各个阶段的语音时域和频域图形(Matlab-based voice signal modulation and demodulation, including draw stages of time domain and frequency domain speech)

Binary erosion and dilation, with fast iterative calls. For any structuring element other than square or disk this function is way faster than imerode.m and imdilate.m (more than an order of magnitude). It s also handy when you don t have the Matlab Image Processing Toolbox :-)... It also allows very fast iterative calls (for instance when sweeping the structuring element while looking for a certain effect, threshold in image statistics, etc). See the help in bmorph.m and the attached .pdf file.