Style:Mac Series:Java Since:2018-09-10 End:2018-09-10 Total Hours:1 Degree Of Diffculty:5 Degree Of Mastery:5 Practical Level:5 Desired Goal:5 Archieve Goal:3 Gerneral Evaluation:3 Writer:kingdelee Related Links: http://www.cnblogs.com/kingdelee/ htt…
BACKGROUND A Virtual Machine (VM) is an efficient, isolated duplicate of a real computer system. More than one VM may be provided concurrently by a single real system. A real system may have a number of resources that it provides to an operating syst…
5152. Brute-force Algorithm EXTREME Problem code: BFALG Please click here to download a PDF version of the contest problems. The problem is problem B in the PDF. But the data limits is slightly modified: 1≤P≤1000000 in the original description, but i…
Breadth first search is a graph search algorithm that starts at one node and visits neighboring nodes as widely as possible before going further down any other path. This algorithm requires the use of a queue to keep track of which nodes to visit, so…
From: http://blog.jobbole.com/73517/ 二分检索是查找有序数组最简单然而最有效的算法之一.现在的问题是,更复杂的算法能不能做的更好?我们先看一下其他方法. 有些情况下,散列整个数据集是不可行的,或者要求既查找位置,又查找数据本身.这个时候,用哈希表就不能实现O(1)的运行时间了.但对有序数组, 采用分治法通常可以实现O(log(n))的最坏运行时间. 在下结论前,有一点值得注意,那就是可以从很多方面“击败”一个算法:所需的空间,所需的运行时间,对底层数据结构的访…
BSS Audio® Introduces Full-Bandwidth Acoustic Echo Cancellation Algorithm for Soundweb London Conferencing Processors December 13, 2010       SALT LAKE CITY, Utah – BSS Audio®, a Harman International Company (NYSE-HAR), today introduced a new full-ba…
Everybody has had the experience of not recognising someone they know—changes in pose, illumination and expression all make the task tricky. So it’s not surprising that computer vision systems have similar problems. Indeed, no computer vision system…
The Baum-Welch algorithm is commonly used for training a Hidden Markov Model because of its superior numerical stability and its ability to guarantee the discovery of a locally maximum, Maximum Likelihood Estimator, in the presence of incomplete trai…
其实算法本身不难,第一遍可以只看伪代码和算法思路.如果想进一步理解的话,第三章那些标记法是非常重要的,就算要花费大量时间才能理解,也不要马马虎虎略过.因为以后的每一章,讲完算法就是这样的分析,精通的话,很快就读完了.你所说的证明和推导大概也都是在第三章介绍了,可以回过头再认真看几遍. 至于课后题,比较难,我只做了前几章,如果要做完需要更多时间和精力.这可以通过之后做算法题来弥补,可以去leetcode等网站找一些经典的算法题做一做,加深理解. Facebook的工程师写的攻略,介绍了用算法导论来…
Expanded encryption and decryption signature algorithm supports multiple signature digest algorithms including SM2 elliptic curve public-private key algorithm and SM3 cryptographic hash algorithm to make the calculation based on public-private key-ke…
Summary Spark does not have a good mechanism to select reasonable RDDs to cache their partitions in limited memory.  --> Propose a novel selection algorithm, by which Spark can automatically select the RDDs to cache their partitions in memory accordi…
Given a stream of elements too large to store in memory, pick a random element from the stream with uniform probability. To solve the problem which n size is unknown, Reservior Sampling is a perfect algorithm to use: Reservoir sampling algorithm can…
在闲暇时间做了一个TOTP相关的开源项目,在项目初步完成之余,我尝试对[RFC6238]文档进行了翻译,供大家参考与查阅,若有不妥之处,还望各位前辈海涵斧正. [RFC6238] : Time-Based One-Time Password Algorithm 开源项目地址:tick-authenticator 文章概要 This document describes an extension of the One-Time Password (OTP) algorithm, namely th…
#include<algorithm>里的函数   #include<algorithm>     非修改性序列操作(12个)   循环 对序列中的每个元素执行某操作 for_each()   查找 在序列中找出某个值的第一次出现的位置 find()   在序列中找出符合某谓词的第一个元素 find_if()   在序列中找出一子序列的最后一次出现的位置 find_end()   在序列中找出第一次出现指定值集中之值的位置 find_first_of()   在序列中找出相邻的一对…
Floyd's Cycle Detection Algorithm http://www.siafoo.net/algorithm/10 改进版: http://www.siafoo.net/algorithm/11…
The Boost.StringAlgorithms library provides many free-standing functions for string manipulation. 1. converting strings to uppercase #include <boost/algorithm/string.hpp> #include <string> #include <iostream> using namespace boost::algor…
kaggle 竞赛入门 导入常用的数据分析以及模型的库 数据处理 Data fields 去除异常值 处理缺失值 分析 Utilities Exploratory Data Analysis Correlation matrix BsmtQual BsmtCond BsmtExplosure BsmtFinType1 BsmtFinSF1 BsmtFinType2 BsmtFinSF2 BsmtUnfSF TotalBsmtSF 1stFlrSF 2ndFlrSF LowQualFinSF Bs…
第一章 Redo文件丢失的恢复 1.1  online redolog file 丢失 联机Redo日志是Oracle数据库中比较核心的文件,当Redo日志文件异常之后,数据库就无法正常启动,而且有丢失据的风险,强烈建议在条件允许的情况下,对Redo日志进行多路镜像.需要注意的是,RMAN不能备份联机Redo日志文件.所以,联机Redo日志一旦出现故障,则只能进行清除日志了.清除日志文件即表明可以重用该文件. 1.1.1  数据库归档/非归档模式下inactive redo异常ORA-00316…
Week1: Machine Learning: A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E. Supervised Learning:We alr…
Isolation,意为孤立/隔离,是名词,其动词为isolate,forest是森林,合起来就是“孤立森林”了,也有叫“独异森林”,好像并没有统一的中文叫法.可能大家都习惯用其英文的名字isolation forest,简称iForest . iForest适用于连续数据(Continuous numerical data)的异常检测,将异常定义为“容易被孤立的离群点(more  likely to be separated)”——可以理解为分布稀疏且离密度高的群体较远的点.用统计学来解释,在…
Isolation,意为孤立/隔离,是名词,其动词为isolate,forest是森林,合起来就是“孤立森林”了,也有叫“独异森林”,好像并没有统一的中文叫法.可能大家都习惯用其英文的名字isolation forest,简称iForest . iForest适用于连续数据(Continuous numerical data)的异常检测,将异常定义为“容易被孤立的离群点(more  likely to be separated)”——可以理解为分布稀疏且离密度高的群体较远的点.用统计学来解释,在…
HTTPS (HTTP Secure) is an adaptation of the Hypertext Transfer Protocol (HTTP) for secure communication over a computer network, and is widely used on the Internet. In HTTPS, the communication protocol is encrypted by Transport Layer Security (TLS),…
sklearn 异常检测demo代码走读 # 0基础学python,读代码学习python组件api import time import numpy as np import matplotlib import matplotlib.pyplot as plt from sklearn import svm from sklearn.datasets import make_moons, make_blobs from sklearn.covariance import EllipticEnv…
一.证书的整体结构:证书内容.签名算法.签名结果. 用ASN.1语法描述如下: Certificate::=SEQUENCE{ tbsCertificate TBSCertificate, signatureAlgorithm AlgorithmIdentifier, signatureValue BIT STRING } 其中,签名算法为CA对tbsCertificate进行签名所使用的算法:类型为AlgorithmIdentifier,其ASN.1语法描述如下: AlgorithmIdent…
期望得分:100+100+40=240 实际得分:100+0+40=140 二进制拆分.二进制前缀和 #include<cstdio> #include<iostream> using namespace std; typedef long long LL; #define N 100001 int a[N],b[N],c[N]; ; ],sumb[N][]; ]; void read(int &x) { x=; char c=getchar(); while(!isdig…
Week 1: Machine Learning: A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E. Supervised Learning:We al…
关于Python Profilers性能分析器 关于性能分析,python有专门的文档,可查看:http://docs.python.org/library/profile.html?highlight=profile#cProfile,这里仅仅简单介绍 1.性能分析器介绍 profiler是一个程序,用来描述运行时的程序性能,并且从不同方面提供统计数据加以表述. Python中含有3个模块提供这样的功能,分别是cProfile, profile和pstats.这些分析器提供的是对Python程…
http://www.briandunning.com/error-codes/?source=Windows Windows Error Codes List All Error Codes | Search Errors: FileMaker Error Codes Lasso Error Codes MySQL Error Codes Windows System Errors About this databaseThis is a free public resource. It is…
Neural Networks and Deep Learning This is the first course of the deep learning specialization at Coursera which is moderated by moderated by DeepLearning.ai. The course is taught by Andrew Ng. Introduction to deep learning Be able to explain the maj…
1.河内之塔.. 2.Algorithm Gossip: 费式数列. 3. 巴斯卡三角形 4.Algorithm Gossip: 三色棋 5.Algorithm Gossip: 老鼠走迷官(一) 6.Algorithm Gossip: 老鼠走迷官(二) 7.Algorithm Gossip: 骑士走棋盘 8.Algorithm Gossip: 八皇后 9.Algorithm Gossip: 八枚银币. 10.Algorithm Gossip: 生命游戏. 11.Algorithm Gossip:…