SURF的matlab代码

实数编码遗传算法程序 共3部分 可以应用于很多方面，但需进一步理解其原理-Real-coded genetic algorithm procedure can be applied to a total of 3 parts in many aspects, but a better understanding of its principle

几个值得学习的C源程序-several worth learning C source

将C语言转换成汇编语言-C language into assembler language

这是一个在能量控制下的，作用PF和UKF对比的，机器人控制语言，主要是C#编写。PF使用重采样算法，能够看出在PF系统下比UKF更好的预测结果，但是却需要更多计算时间。

这是一段生成粗糙面的源代码，非常实用，二维的，能够帮助那些做粗糙面研究的朋友，很简单明了，我在这里分享给大家，大家可以借鉴一下。

Make your rcopy robust against all kinds of user or operation system errors. That means – check all return values for operating system errors (mostly I/O errors) and command line arguments for user errors. Stick to our files and interfaces that we provide via SubVersion. You may add methods (e.g. for file size or reversing the buffers content), but you are not allowed to change the signature of any method specified by us.

本文实现了C4.5的算法，在ID3的基础上计算信息增益，从而更加准确的反应信息量。其实通俗的说就是构建一棵加权的最短路径Haffman树，让权值最大的节点为父节点。ID3算法：ID3算法的核心是：在决策树各级结点上选择属性时，用信息增益（information gain）作为属性的选择标准，以使得在每一个非叶结点进行测试时，能获得关于被测试记录最大的类别信息。其具体方法是：检测所有的属性，选择信息增益最大的属性产生决策树结点，由该属性的不同取值建立分支，再对各分支的子集递归调用该方法建立决策树结点的分支，直到所有子集仅包含同一类别的数据为止。最后得到一棵决策树，它可以用来对新的样本进行分类。

用于Vibe算法的理解 运用 改进 对呀刚接触Vibe算法的同学 有很大的帮助，望大家借鉴 采纳                                                       谢谢

The inverse of the gradient function. I ve provided versions that work on 1-d vectors, or 2-d or 3-d arrays. In the 1-d case I offer 5 different methods, from cumtrapz, and an integrated cubic spline, plus several finite difference methods. In higher dimensions, only a finite difference/linear algebra solution is provided, but it is fully vectorized and fully sparse in its approach. In 2-d and 3-d, if the gradients are inconsistent, then a least squares solution is generated

一个acm算法题目 问题描述： 有一个黑盒子，可视为一个15×10的二维矩阵，里面有一些空隙，在二维矩阵中用0表示空隙，用1表示被占有。现有一个仪器，可以从4个方向对盒子进行分行透视：从左到右，从左下到右上，从下到上，从右下到左上。透视可得到该二维矩阵的该行1的个数。要求，还原此矩阵。 输入：4行，每一行分别代表从左到右，从左下到右上，从下到上，从右下到左上透视所得的数据 输出：该矩阵 使用的方法是回溯法，具体见程序-a acm algorithm topic Problem description : a black box, as a 15 x 10 two-dimensional matrix, there are some gaps in two-dimensional matrix using 0 indicates the gap, with a show that occupies. An existing equipment, from the direction of four branches box for perspective : from left to right, from the lower left to upper right, from bottom to top, from the lower right to upper left. Perspective availability of the two-dimensional matrix of the line a number. Demand reduction of this matrix. Input : 4 firms on behalf of every line from left to right, from the lower left to upper right, from bottom to top, from the upper left to lower right perspective on data obtained from the output : the matrix method is the use of backtracking, see the specific procedures