SimpleSolarCellAndPanelModel

matlab编写的黄金分割法求极值，C语言写鲍威尔修正算法，对n阶n次函数都实用，详细说明。(Matlab written in golden section method extremum, written in C language Powell correction algorithm, function of order n n practical details.)

solar pv array model of msx60

对Hamming(7,4),Hamming(15,11),Hamming(31,26)符号的重量分布用MATLAB进行分析(For Hamming codes a resonably simple means of determining the weight structure is available.)

利用信号的循环平稳特性进行相干源的波达方向估计(DOA Cyclostationarity use of coherent signal source estimates)

利用BP神经网络实现三类物体的分类,包含MATLAB和C#两种实现。(Using BP neural network to classify three types of objects.)

实现的Sara强化学习算法，动作选择策略为贪心策略，且存在收敛条件和最终状态。(The implemented Sara reinforcement learning algorithm, the action selection strategy is a greedy strategy, and there are convergence conditions and final states.)

说明：  时间序列经典设计程序，适合初学者学习使用！(Time Series classic design program, for beginners to learn to use!)

说明：  matlab时针程序，能实现双时针的配合旋转，历时24小时(The matlab clockwise procedures to achieve dual-clockwise with the rotation, which lasted 24 hours)

说明：  M\M\1排队模型（1）可计算用户到达数量与用户离开数量，实际值与理论值的仿真对比(M\M\1 Queuing model（1）)

Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1] Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving. The algorithm is patented in the US the owner is the University of British Columbia.