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废话不多说,大名鼎鼎的Lenstra-Lenstra-Lovasz(LLL) 算法.实现参考论文:Factoring Polynomials with Rational Coefficients, 作者 A.K. Lenstra, H.W. Lenstra, Jr. and L. Lovasz. /* File : LLL Lattice Reduction Matlab mex interface * Description : do Lattice Reduction in the Real…
10. Dimensionality Reduction Content  10. Dimensionality Reduction 10.1 Motivation 10.1.1 Motivation one: Data Compression 10.2.2 Motivation two: Visualization 10.2 Principal Component Analysis 10.2.1 Problem formulation 10.2.2 Principal Component An…
转自: http://hackecho.com/2013/04/cuda-parallel-reduction/ Parallel Reduction是NVIDIA-CUDA自带的例子,也几乎是所有CUDA学习者的的必看算法.在这个算法的优化中,Mark Harris为我们实现了7种不同的优化版本,将Bandwidth几乎提高到了峰值.相信我们通过仔细研读这个过程,一定能对CUDA程序的优化有更加深刻的认识.下面我们来一一细看这几种优化方案,数据和思想均摘录自官方SDK中Samples的算法说明…
Beginners Guide To Learn Dimension Reduction Techniques Introduction Brevity is the soul of wit This powerful quote by William Shakespeare applies well to techniques used in data science & analytics as well. Intrigued ? Allow me to prove it using a s…
问题出自这里 问题描述: Given a string consisting of a,b and c's, we can perform the following operation: Take any two adjacent distinct characters and replace it with the third character. For example, if 'a' and 'c' are adjacent, they can replaced with 'b'. Wh…
At some fundamental level, no one understands machine learning. It isn’t a matter of things being too complicated. Almost everything we do is fundamentally very simple. Unfortunately, an innate human handicap interferes with us understanding these si…
“首先明确一点,Erlang的process的调度是抢占式的,而非couroutine的协作式的.其次,Erlang早期版本是只有一个调度器,运行在一个线程上,随着erts的发展,现在erlang的调度器已经支持smp,每个cpu关联一个调度器,并且可以明确指定哪个调度器绑定到哪个cpu上.第三,Erlang的调度也是采用优先队列+时间片轮询的方式,每个调度器关联一个ErtsRunQueue,ErtsRunQueue内部又分为三个ErtsRunPrioQueue队列,分别对应high,max和n…
Archiving for File Count Reduction Note: Archiving should be considered an advanced command due to the caveats involved. Archiving for File Count Reduction Overview Settings Usage Archive Unarchive Cautions and Limitations Under the Hood Overview Due…
1.Link: http://poj.org/problem?id=2707 2.Content: Copier Reduction Time Limit: 1000MS   Memory Limit: 65536K Total Submissions: 8315   Accepted: 4389 Description What do you do if you need to copy a 560x400mm image onto a standard sheet of US letter-…
Reduction并行分析: 每个线程是基于一个树状的访问模型,从上至下,上一层读取数据相加得到下一层的数据.不停的迭代,直到访问完所有的数据. 利用这么多的线程块(thread block)我们需要做的事情如下: 1. 处理非常大的数组 2. 让GPU的每个处理器保持忙碌 3. 每个thread block迭代减少数组的区域. 比如这个图,第一次是8个数据,第二次是4个. 但是碰到一个问题,在thread block中的线程可以利用同步,但是每个thread block都处理完了,CUDA中并…