GDE

利用游程编码和哈弗曼编码实现灰色图片的压缩和解码，压缩比可达15倍(Using run-length encoding and Hafu Man Coding and decoding of gray image compression, the compression ratio up to 15 times)

wyy.m为电力系统潮流计算程序 IEEE14为潮流计算所用数据 word 文档为20100507电力系统潮流计算数据结构说明书(wyy.m for the power flow calculation program IEEE14 data used for the flow calculation for the 20,100,507 word document data structure calculation of power flow instructions)

code for solving 2D FEM heat problem with quadrilateral s meshing

该函数计算单元的刚度矩阵，输入弹性模量E、横截面的惯性矩I和梁单元的长度L，输出单元的刚度矩阵(Computational unit stiffness matrix)

说明：  Read the latest news from the EDA industry at FPGAworld (Read the latest news from the EDA industry at FPGAworld)

经典的Kalman滤波方面书籍《卡尔曼滤波理论与实践》（英）源代码(Kalman Filtering- Theory and Practice.rar)

SIMULATION ON MATLAB AND VISUAL SERVOING

Artificial networks exampls

粒子群算法求解车辆路径优化问题，有需要的可以参考一下(PSO for Vehicle Routing 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)