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三维矢量有限元-矩量法电磁场分析程序。 EMAP5 is a full-wave electromagnetic field solver that combines the method of moments (MOM) with a vector finite element method (VFEM). It employs the finite element method (FEM) to analyze a dielectric volume, and employs the method of moments (MoM) to solve fo ...

多项式曲线拟合 任意介数 Purpose - Least-squares curve fit of arbitrary order working in C++ Builder 2007 as a template class, using vector<FloatType> parameters. Added a method to handle some EMathError exceptions. If do NOT want to use this just call PolyFit2 directly. usage: Call PolyFit by ...

This string-include defines all string functions as inline functions. Use gcc. It also assumes ds=es=data space, this should be normal. Most of the string-functions are rather heavily hand-optimized, see especially strtok,strstr,str[c]spn. They should work, but are not very easy to understand. Every ...

In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: ...

很经典的空时编码书籍，英文版。 "Space-Time Coding Theory and Practice" writen by Hamid Jafarkhani Cambridge Pre

This Two-Category Classifier Using Discriminant Functions to separeate two classes. The Classifier is designed on classes which has two feature vectors and other case it has one feature vector.

描述工厂管理多个工人 工厂类 属性：工厂名称 行为：添加 删除工人 工人类 属性：姓名 （1）使用数组装载工人对象，这里注意当数组满时添加工人应做一些什么样的处理。 （2）将数组改为Vector类装载工人对象。

Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space DIM, the number of centres in the mixture model and the type of the mixture model, and returns a data structure MIX.

KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means algorithm to set the centres of a cluster model. The matrix DATA represents the data which is being clustered, with each row corresponding to a vector. The sum of squares error function is used. The ...

Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal ％ component subspace U of dimension PPCA_DIM using a centred covariance matrix X. The variable VAR contains the off-subspace variance (which is assumed to be spherical), while the vector LAMBDA ...