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rpcexample
- 同样是RPC的小程序，不过这是人家sdk中的Demo程序，它是一种规范，比自己写的要好一点，供大家理解使用-RPC is the same small programs, but it is others sdk the Demo procedures, it is a norm, than he was the better point for us to understand the use of
classPoint
- 定义三维坐标的Point类。包含一个构造函数，一个拷贝构造函数，一个将点变为负值的函数negate()，一个返回该点到原点（0，0，0）距离的函数norm()和一个输出点坐标的函数print（）。并定义一个静态数据成员记录创建点的个数。-definition three-dimensional coordinates of the Point class. Includes a constructor function, a copy constructor, to a point into n
bootkitbasic
- 可在系统引导时工作的RootKit,较简单 1) It s very small.The basic framework is just about 100 lines of assembly code.It supports 2000,XP,2003 2) It patches the kernel at runtime(no files are patched on disk).(basic version has this code removed , so as other
DVD2AVI_164_SRC
- Dvd to AVI DVD2AVI is based on MSSG MPEG2Decode-1. GUI interface (gui.cpp) 2. VFAPI support (vfapi.c vfapidec.c) 3. AC3/MPA/LPCM demux (getbit.c) 4. Auto-split AVI output through RGB24/YUY2 (store.c) 5. YUY2 DirectDraw Overlay (store.
knnsearch
- KNN classifiers, training is training set, testing is test set, D is the distance, D=1 is mandistance D=2 is 欧氏距离 D=3是 infinite norm K is the number of selected neighbors- KNN classifiers, training is training set, testing is test set,
tsp_nn
- KNN classifiers, training is training set, testing is test set, D is the distance, D=1 is mandistance D=2 is 欧氏距离 D=3是 infinite norm K is the number of selected neighbors- KNN classifiers, training is training set, testing is test set,
the-awe-and-mystery-of-T-Norm_eurospeech03_tnorm.
- about test normalization(t-norm) which is applicable for speaker verification score normalization
4qa
- 4QAM 常模de 算法,算法简单明了，运行正确-4QAM norm de algorithm
YALL1-v1.4
- 新版的求解L1范数最小化问题的凸优化工具包-new version for solve L1-norm minimization problem of convex optimization
pivotgolf
- 运用matla编写的一个小游戏界面，能够对矩阵进行LU分解，希望读者能从中得到启发-Your goal is to use LUGUI to compute the LU decompositions of nine matrices with as little roundoff error as possible. Your score for each hole is norm(R,inf)+norm(Leps,inf)+norm(Ueps,inf) where R = L*
regularization
- 正则化(regularization)，是指在线性代数理论中，不适定问题通常是由一组线性代数方程定义的，而且这组方程组通常来源于有着很大的条件数的不适定反问题。大条件数意味着舍入误差或其它误差会严重地影响问题的结果。-Regularization, in mathematics and statistics and particularly in the fields of machine learning and inverse problems, refers to a process of
l2-linf-fanshubuqdingkongzhi
- 关于范数有界的鲁棒控制系统的控制，取得良好控制效果-Robust control systems on the control of norm-bounded, and achieved good control effect
scnrm2
- Fortorn种求解2范数的子程序已经验证过可以使用-Beg 2 norm
（强化学习入门）David Silver
- 深度学习的中文版本，里面详细介绍了深度学习的各种算法，其中还有一些用到的基础内容，例如矩阵和向量的范数(Chinese version of the depth of learning, which detailed the depth of learning algorithms, some of which used the basics, such as vector and matrix norm)