用CORDIC算法实现的2参数反正切。结果的精度与CORDIC的迭代次数有关，迭代次数越多，精度越高。本例子中精确到小数点后4位。要提高迭代次数，还得把增加1Q...

误差分析的方法有多种，这是一种先验估计误差的方法，较以往的“向前误差分析”在矩阵运算的舍入误差估计上有较好的结果，以而使矩阵的误差分析获得了突破性的进展，使不少用向前误差分析难于判定可靠性的数值方法获得新的进展。特别值得一提的是，在工程技术界，经常使用几种不同的计算方法，甚至使用实验方法进行比较，从而确定计算结果的可靠性，这也是一种有效而实用的方法。-error analysis by a number of means, which is a priori estimation error method, compared to the previous "Forward Error Analysis" in the matrix calculation error into the homes a better estimate on the results of a matrix so the error analysis of a breakthrough in the progress, many with forward error analysis can be difficult to determine on the numerical method to achieve new progress. Particularly worth mentioning is that in the engineering technology sector, often use several different methods of calculation, or even the use of experimental methods, in order to determine the reliability of results, which is also an effective and practical method.

矩阵算法的源代码-matrix algorithm source code

资源描述本程序采用C++编写五子棋小游戏，算法简单易懂，易操作

数据挖掘中的bridgit算法的例子。 非常经典-of data mining algorithms bridgit example. Very classic

用仿生模式识别来训练目标，在视频序列中跟踪目标 function [sausage, num] = hypersausage_construct(P) %按照样本给定的顺序去求解超香肠神经元 [~, W] = size(P);%W是训练样例的个数 sausage = []; for i = 2:W     temp = power_two(P(:, i - 1), P(:, i));%构建第i-1个神经元  //temp是一个行向量     %temp = power_three(P(:, i - 2), P(:, i-1),P(:,i));     sausage = [sausage temp]; end sausage = [sausage P(:, end)]; num = (size(sausage, 2) - 1) / (W - 1);

i2c_slave_bfm.v ---- i2c model i2c_slave_bfm_readme --- 说明文档 该仿真模型可以进行时序参数是否满足要求的检查，可以保证开发者进行自动化的验证。可以高效的进行仿真。 时序参数可以根据不同的器件进行修改，简单易用。

!抛物线法求一维函数的极值，要保证输入的x1

摄影测量中单独像对立体前交的算法实现，挺有用的-Photogrammetry separate ago as a three-dimensional reference to the algorithm, quite the

C++ net time 读取网洛时间-C net Luo time reading time

使用哈希来做第一张地图，并使用一个字符串的最小表示测试天气 2 字符串具有相同的最小表示形式，结合哈希。