10.2 How would you design the data structures for a very large social network like Facebook or Linkedln? Describe how you would design an algorithm to show the connection, or path, between two people (e.g., Me -> Bob -> Susan -> Jason -> You).…
摘要:Abstract—Complex social network analysis methods have been applied extensively in various domains including online social media, biological complex networks, etc. Complex social networks are facing the challenge of information overload. The demand…
2017 will see a host of informed predictions, lower costs, and even business-centric gains, courtesy of the global adoption of Big Data and associated technologies. 2017 is already upon us, and Big Data seems to be growing in leaps and bounds. Be it…
"I worked up a full implementation as well but I decided that it was too complicated to post in the blog. What I was really trying to get across was that immutable data structures were possible and not that hard; a full-on finger tree implementation…
按书上练习完,就可以知道日常的用处啦 #!/usr/bin/env python # -*- coding: utf-8 -*- # learn <<Problem Solving with Algorithms and Data Structures>> # Release 3.0 # chengang882 @ 2016-12-20 # 它可以检查常用的语法里,({[]})这些符号是否是正常闭合的 # Completed implementation of a stack AD…
原文链接:http://www.codeproject.com/Articles/9680/Persistent-Data-Structures Introduction When you hear the word persistence in programming, most often, you think of an application saving its data to some type of storage, such as a database, so that the…
refer:http://research.swtch.com/interfaces Go Data Structures: Interfaces Posted on Tuesday, December 1, 2009.   Go's interfaces—static, checked at compile time, dynamic when asked for—are, for me, the most exciting part of Go from a language design…
What is a high-performance data structure? To answer that question, we're used to applying normal considerations like Big-Oh complexity, and memory overhead, locality, and traversal order. All of those apply to both sequential and concurrent software…
MapReduce: Simplified Data Processing on Large Clusters MapReduce:面向大型集群的简化数据处理 摘要 MapReduce既是一种编程模型,也是一种与之关联的.用于处理和产生大数据集的实现.用户要特化一个map程序去处理key/value对,并产生中间key/value对的集合,以及一个reduce程序去合并有着相同key的所有中间key/value对.本文指出,许多实际的任务都可以用这种模型来表示. 用这种函数式风格写出的程序自动就…
Abstract MapReduce是一种编程模型和一种用来处理和产生大数据集的相关实现.用户定义map函数来处理key/value键值对来产生一系列的中间的key/value键值对.还要定义一个reduce函数用来合并有着相同中间key值的中间value.许多现实世界中的任务都可以用这种模型来表达,就像下文所展示的那样. 用这个风格编写的程序可以自动并行地在集群上工作.运行时系统会自动处理例如切割输入数据,在机器之间调度程序的执行,处理机器故障以及管理必要的机器间通信等细节问题.这可以让那些对…