Routh

fast fourier transform (FFT) code in MatLab

元胞自动机程序模型，用来研究和分析随时间节点变化，元宝状态的程序！(cells automatic，)

EOF（经验正交函数分解）可以进行时空分离，同时也可以分析周期规律(EOF (empirical orthogonal function decomposition) can be temporal separation, but also can analyze cycle regularity)

用矩阵法求权重，用于将多目标函数转化为单目标函数。(Find the right weight matrix method for multi-objective functions into a single objective function.)

说明：  深度神经网络在函数近似中表现优越，然而需要从头开始训练。另一方面，贝叶斯方法，像高斯过程（GPs），可以利用利用先验知识在测试阶段进行快速推理。然而，高斯过程的计算量很大，也很难设计出合适的先验。本篇论文中我们提出了一种神经模型，条件神经过程（CNPs），可以结合这两者的优点。CNPs受灵活的随机过程的启发，比如GPs，但是结构是神经网络，并且通过梯度下降训练。CNPs通过很少的数据训练后就可以进行准确的预测，然后扩展到复杂函数和大数据集。我们证明了这个方法在一些典型的机器学习任务上面的的表现和功能，比如回归，分类和图像补全(Deep neural networks perform well in function approximation, but they need to be trained from scratch. On the other hand, Bayesian methods, such as Gauss Process (GPs), can make use of prior knowledge to conduct rapid reasoning in the testing stage. However, the calculation of Gauss process is very heavy, and it is difficult to design a suitable priori. In this paper, we propose a neural model, conditional neural processes (CNPs), which can combine the advantages of both. CNPs are inspired by flexible stochastic processes, such as GPs, but are structured as neural networks and trained by gradient descent. CNPs can predict accurately with very little data training, and then extend to complex functions and large data sets. We demonstrate the performance and functions of this method on some typical machine learning tasks, such as regression, classification and image completion.)

OFDM MATLAB 仿真程序 OFDM MATLAB 仿真程序(OFDM MATLAB simulation program)

通过此程序希望使大家对基本的分岔过程有一个感性的认识()

economic load dispatch by quadratic programming

LLE是一种很常用的降维方法，这是用matlab实现的(LLE is a very popular dimensionality reduction method, the code implemented using matlab)

BIOMETRICS SOLUTIONS USING DATA AND IMAGES MATHEMATICS FORMS