mfc

希望大家共同探讨问题，共同进步，祝大家学业有成！(U.S. to discuss the issue of hope and common progress, I wish everyone with achieving!)

Nonlinear Schrodinger Equation Explicit

常用机械优化方法。包括显式最速下降法，进退法，坐标轮换法，三次插值法。(Common mechanical optimization method.It includes explicit steepest descent method, advance and retreat method, coordinate rotation method and three interpolation method.)

ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix and T - translation vector accordingly so newdata = R*data + T . newdata are transformed data points to fit model see help icp for more information (ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model- matrix with model points, data- matrix with data points, OUTPUT: R- rotation matrix and T- translation vector accordingly so newdata = R*data+ T . newdata are transformed data points to fit model see help icp for more information )

MATLAB命令行下mcc命令示范1 (MATLAB command line mcc order a model)

具有用户界面的smith圆图，供工程人员使用(smith chart with GUI, for developers)

离散随机信号的计算机仿真(验证性实验)---仿真协方差函数为C（x)的高斯过程(Computer simulation of discrete stochastic signal validation experiments--- Simulation covariance function C (x) of the Gaussian process)

光学仿真设计，适用于初学者学习使用matlab进行光学仿真，基于Matlab的光学实验仿真(Optical simulation design, suitable for beginners to learn to use matlab optical simulation, Matlab-based simulation of optical experiments)

画板素描源码程序，根据画板底色与图像的颜色差异判断，对图像进行轮廓的素描。(Sketchpad sketch source program, according to the background and image color difference Sketchpad judgment sketch the outline of the image .)

说明：  一个双向LSTM程序 Long Short Term 网络—— 一般就叫做 LSTM ——是一种 RNN 特殊的类型，可以学习长期依赖信息。LSTM 由Hochreiter & Schmidhuber (1997)提出，并在近期被Alex Graves进行了改良和推广。在很多问题，LSTM 都取得相当巨大的成功，并得到了广泛的使用。 LSTM 通过刻意的设计来避免长期依赖问题。记住长期的信息在实践中是 LSTM 的默认行为，而非需要付出很大代价才能获得的能力！ 所有 RNN 都具有一种重复神经网络模块的链式的形式。在标准的 RNN 中，这个重复的模块只有一个非常简单的结构，例如一个 tanh 层。(A bidirectional LSTM program Long short term network, commonly known as LSTM, is a special type of RNN that can learn long-term dependent information. LSTM was proposed by Hochreiter & schmidhuber (1997) and recently improved and promoted by Alex graves. In many problems, LSTM has achieved great success and has been widely used. LSTM is designed to avoid long-term dependency. Remember that long-term information is the default behavior of LSTM in practice, not the ability to acquire it at a great cost! All RNNs have a chained form of repetitive neural network modules. In the standard RNN, this repetitive module has only a very simple structure, such as a tanh layer.)