背包算法C#实现

动态规划算法求字符串的相似性（编辑距离）-dynamic programming algorithms to find the similarity of the string (edit distance)

这是关于运筹学上的单纯形法的源码，此方法用的是两阶段法。-tacticians on the simplex method source code, the use of this method is a two-stage method.

用C++编写的拉格朗日插值算法-C Lagrange prepared by the interpolation algorithm

利用C++实现了，矩阵的所有运算，包括矩阵的基础运算、以及矩阵的LU分解、矩阵QR分解等等，对于进行矩阵运算来说这是一个很不错的代码，希望对大家能够有所帮助

《数字滤波与卡尔曼滤波》本人感觉写的比较好的卡尔曼滤波图书，- Digital Filter and Kalman Filter I feel better to write the Kalman filter books,

资源描述This paper presents a lowcost indoor location identification and material tracking methodology for construction projects using Ultra High Frequency (UHF) passive Radio Frequency Identification (RFID) technology. Onsite location aware information is an emerging area that focuses on automating delivery of spatial information pertinent to location of materials, workforce, and equipment. This spatial information can be used to derive knowledge about construction project status. A two-step algorithm is presented to automate the process of location estimation and material tracking in near-real-time. In this methodology, a number of passive RFID tags are distributed onsite where work is progressing, and a mobile RFID reader is carried by a worker onsite. Each passive RFID tag is deployed as a reference point with a known location (landmark) within a predefined zone. Reference tags of known locations are used to d

卡尔曼滤波简介

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

输入： %x = 输入的图像 （灰度或 rgb，请期待很长时间处理，如果图像大小很大） %hs = 空间内核的带宽 （见 Eq.(35) 在被引用的文件中） %hr = 功能内核的带宽 （见 Eq.(35) 在被引用的文件中） %th = 收敛判据的阈值 （默认值 =.25) %ploton = 开关打开/关闭图像显示的中间结果 （默认值 = 1) % %输出：

关于遗传算法的一些见地。特别是关于简单遗传程序设计的实现。-on Genetic Algorithms some insight. Especially on the simple genetic procedures designed to achieve.