example

《图像配准技术及其Matlab编程实现》一书的Matlab源码，有点检测、线检测、Hough变换、遗传算法、蚁群算法、Powell算法和插值算法等。("Image Registration and Matlab programming," a book of Matlab source code, a bit detection, line detection, Hough transform, genetic algorithm, ant colony algorithm, Powell algorithm and the interpolation algorithm etc.)

Evolutionary design for a PD controller for a tanker ship

矩形波的产生，分三个步骤，第一步先产生矩形波，然后画出产生矩形波的源代码 (Rectangular wave generated in three steps, the first step to produce the rectangular wave, and then draw rectangular wave generated source code)

这是基于matlab的关于模糊控制pid的源代码，对于学习pid控制器的很有用(This is based on the fuzzy control pid matlab source code for learning useful pid controller)

Dijkstra最短路算法通用Matlab程序

包含了matlab优化工具箱的大多数函数及描述.(matlab optimized functions and their descriptions.)

该功能用matlab实现的几个界面，可供新手们参考学习下哈(This feature is implemented with a few matlab interface for novices to learn under reference Ha)

unit commitment problem

说明：  最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)

matlab：距离方程、线性调频、雷达波形、动目标显示、脉冲压缩、编码波形、伪随机序列、SAR、RCS(matlab: from the equation, linear frequency modulation, radar waveform, moving target indication, pulse compression, encoding waveform, pseudo-random sequence, SAR, RCS)