计算器

Navier Stokes Equation

改进的克隆选择算法求函数的极值 操作：高频变异、编辑、选择 多峰值函数优化，求函数的极值(Clonal selection algorithm for improved function extremum)

Lagrange Interpolation

Dimension about rectangular microstrip antenna

Through neural networks, ant colony algorithm, genetic algorithm, such as intelligent optimization methods to solve TSP problems

利用MATLAB实现在图像中嵌入和提取文本信息，最简单的LSB算法实现，自己写的可用。适合初学者(The realization of the embedded text information in the image using MATLAB, LSB algorithm to achieve the most simple, write their own use. Suitable for beginners)

dream theater berjudul don

Paper for adaptive control system introduce

定时自动发送邮件,在邮件末尾添加 “你好，这份邮件是我用MATLAB发的”(Timing automatically send e-mail in the mail the end of the add Hello, this message is issued with MATLAB ")

梯度下降法是一個一階最佳化算法，通常也稱為最速下降法。 要使用梯度下降法找到一個函數的局部極小值，必須向函數上當前點對應梯度（或者是近似梯度）的反方向的規定步長距離點進行疊代搜索。如果相反地向梯度正方向疊代進行搜索，則會接近函數的局部極大值點；這個過程則被稱為梯度上升法。(The gradient descent method is a first-order optimization algorithm, also commonly referred to as the steepest descent method. To find the local minimum of a function using the gradient descent method, an iterative search must be performed to the specified step distance point in the opposite direction of the gradient (or approximate gradient) of the current point on the function. If the search is reversed in the opposite direction to the positive direction of the gradient, it will approach the local maximum point of the function; this process is called the gradient ascent method.)