Knut---Art-of-programming

说明：  15个可以用于路径规划经典算法研究与总结合集。(15 can be used for path planning the classic algorithm research and summarize Collection.)

vc和matlab混编技术之一：vc++基于com组件调用matlab的dll(One of vc and matlab mixed technology: vc++ DLL based on matlab com component calls )

以网格作为逻辑结构，具有高联通，低负载，扩展性强的特点。经分析表明，该方案更高效、安全、抗攻击能力更强。(To the grid as a logical structure, with high Unicom, low load, expansion and strong features. The analysis shows that the program more efficient, safe, stronger anti-attack capability.)

介绍了matlab与vc的接口编程，并引入了常见问题解决。(Introduces MATLAB and VC programming interface, and introduces common problems)

角点检测程序源码，使用的是HARRIS角点提取方法，效果很好。(Corner detection program source code, using extraction methods HARRIS corner, very good.)

Detect circles with various radii in grayscale image via Hough Transform

《MATLAB智能算法30个案例》分析源代码(" MATLAB intelligent algorithm 30 case" analyze the source code)

在振动台试验后由测得的加速度值两次积分求位移(Acceleration of displacement)

利用macd背离信号开单,它能省去很多人为的干预，自动交易，避免人性的恐惧和贪婪的弱点！(it use MACD divergence to trade!)

说明：  在过去的几年中, 背包问题吸引了众多理论研究人员和应用工作者的注意力, 因而得到了广泛而深入的研究。理论方面, 研究兴趣主要来自于该问题简单的结构, 而这种特点既可以深入探索许多组合特性, 又可以通过解决一系列背包子问题来最终求解更为复杂的优化问题。实践方面, 这些问题可以表述许多工业场合的应用, 最典型的应用包括货 物装载、存储分配和资本预算等等。在寻找背包问题可行解的过程中, 出现了众多的算法, 本文是利用MATLAB 程序求背包问题可行解的一种算法。(In the past few years, knapsack problem has attracted many researchers and application of theoretical attention of workers, which has been extensive and in-depth study. Theory, research interest mainly from the simple structure of the problem, and this characteristic combination of both in-depth exploration of many features, but also can solve a series of knapsack sub-problems to solve more complex final optimization problem. Practice, these problems can be expressed in many industrial applications where the most typical applications include cargo loading, storage, distribution and capital budgets, and so on. Knapsack problem in finding feasible solutions in the process, there have been many algorithms, this is the knapsack problem using MATLAB program seeking a feasible solution algorithm.)