<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[lwj的小站]]></title><description><![CDATA[独乐乐不如众乐乐]]></description><link>https://blog.youkuaiyun.com/Power1_Power2</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Power1_Power2]]></copyright><item><title><![CDATA[探索学习：网红容器引擎Docker]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/106675038</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/106675038</guid><author>Power1_Power2</author><pubDate>Wed, 10 Jun 2020 22:53:22 +0800</pubDate><description><![CDATA[近两年容器技术成为开源社区中的网红，轻便易用，集开发、持续集成、交付和运行于一体。本文将按照如下结构与大家一起进行探索和学习。
1. Docker的起源
Docker容器引擎由Docker Inc（前身是dotCloud）开发并开源，2014年6月9日，Docker 1.0版本正式发布，基于 Go 语言并遵从 Apache2.0 协议开源。
Docker 允许开发者打包他们的应用以及依赖包到一个轻量级、可移植的容器中，然后发布到任何流行的 Linux 机器上，也可以实现虚拟化。容器使用沙箱机制，相互之间不会]]></description><category></category></item><item><title><![CDATA[探索：Linux中强大的文本搜索命令----grep]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/106124873</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/106124873</guid><author>Power1_Power2</author><pubDate>Thu, 14 May 2020 17:48:20 +0800</pubDate><description><![CDATA[这两天在看日志管理相关的资料，接触过日志的同学都知道，日志内容纷繁复杂，为了排查bug，后台总是尽可能地打印所有与代码运行有关的信息，看起来头疼，但是通过一个强大的文本搜索命令，完美的解决了我的疑惑，这条命令即-grep（Global regular expression print），表示全局正则表达式打印。
grep命令用于查找文件里符合条件的字符串，使用语法如下：

grep [-acinv] [--color=auto] '要查找的字符串' filename

我们通过实操演示环节来学习grep的各]]></description><category></category></item><item><title><![CDATA[Mac系统下Selenium4.0使用二三事]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/105091260</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/105091260</guid><author>Power1_Power2</author><pubDate>Wed, 25 Mar 2020 15:28:29 +0800</pubDate><description><![CDATA[Mac系统（10.15）下使用Selenium4.0启动Chrome（80.*）的若干问题新的开始环境搭建代码构建
新的开始
由于之前都是在Windows下使用各种开发工具，此次转战Mac平台，从系统的熟悉，到基本软件的安装也是经历了一个不小的转变。
本文的目的：使用Mac系统，搭建一个Selenium平台，然后从IDEA中打开Chrome浏览器，在网上看过了各种版本，自己实践起来确实遇到不少问题...]]></description><category></category></item><item><title><![CDATA[利用MATLAB求解非线性优化问题---fgoalattain函数详解及应用案例]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/82957815</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/82957815</guid><author>Power1_Power2</author><pubDate>Sun, 07 Oct 2018 22:43:18 +0800</pubDate><description><![CDATA[最近在做方程组的非线性优化问题，用到了fgoalattain函数，总结一下：

意义
解决多目标的非线性优化问题
函数形式
函数表示形式如下：

上式中，weight, goal, b和beq 是向量(组)，A 和Aeq 是矩阵, c(x), ceq(x)和F(x) 返回值为向量的函数，函数可以是非线性的，x, lb, ub 可以以向量或者矩阵的形式传递或者表示;
在不同场景下的语法形式

x =...]]></description><category></category></item><item><title><![CDATA[MATLAB解方程组中 solve 和 fsolve 的细节比较]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/82893867</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/82893867</guid><author>Power1_Power2</author><pubDate>Sat, 29 Sep 2018 10:29:14 +0800</pubDate><description><![CDATA[MATLAB作为科研工作者的忠实伙伴，解各种复杂方程的性能与其他工具相比，自然不逞多让。本期盘点MATLAB中solve和fsolve两个函数在解方程中的优劣。]]></description><category></category></item><item><title><![CDATA[辣鸡刘的Leetcode之旅8【Add Binary，Sqrt(x)，Merge Sorted Array】]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/82824767</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/82824767</guid><author>Power1_Power2</author><pubDate>Sun, 23 Sep 2018 20:46:36 +0800</pubDate><description><![CDATA[
Add Binary
题目描述;

Given two binary strings, return their sum (also a binary string).
The input strings are both non-empty and contains only characters 1 or 0.
Example 1:
Input: a = &amp;amp;amp;amp;quot;11&amp;amp;amp;amp;quot;, b = &amp;amp;amp;amp;quot;]]></description><category></category></item><item><title><![CDATA[辣鸡刘的Leetcode之旅7【Length of Last Word，Maximum Subarray，count-and-say，Plus One】]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/82718669</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/82718669</guid><author>Power1_Power2</author><pubDate>Sat, 15 Sep 2018 22:38:17 +0800</pubDate><description><![CDATA[58. Length of Last Word

题目描述：



Given a string s consists of upper/lower-case alphabets and empty space characters ' ', return the length of last word in the string.

If the last word does not exist...]]></description><category></category></item><item><title><![CDATA[辣鸡刘的Leetcode之旅6【移除元素,	 实现strStr() ，寻找插入的位置，最长无重复子串, 最长回文字符 】]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/82425814</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/82425814</guid><author>Power1_Power2</author><pubDate>Wed, 05 Sep 2018 16:14:57 +0800</pubDate><description><![CDATA[27. Remove Element

题目描述： 
Given an array nums and a value val, remove all instances of that value in-place and return the new length.

Do not allocate extra space for another array, you must do this ...]]></description><category></category></item><item><title><![CDATA[Leetcode5(SQL Part)【谁没点餐】]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/82425065</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/82425065</guid><author>Power1_Power2</author><pubDate>Wed, 05 Sep 2018 15:43:09 +0800</pubDate><description><![CDATA[Customers Who Never Order 
题目描述：


Suppose that a website contains two tables, the Customers table and the Orders table. Write a SQL query to find all customers who never order anything.

Table: Cust...]]></description><category></category></item><item><title><![CDATA[辣鸡刘的Leetcode之旅4 (Weekly Contest 100)【单调序列，】]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/82382973</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/82382973</guid><author>Power1_Power2</author><pubDate>Tue, 04 Sep 2018 14:22:16 +0800</pubDate><description><![CDATA[
Monotonic Array 
题目描述： 
An array is monotonic if it is either monotone increasing or monotone decreasing. 
An array A is monotone increasing if for all i &amp;amp;amp;amp;lt;= j, A[i] &amp;amp;amp;amp;lt;= A[j].  An array A is mono...]]></description><category></category></item><item><title><![CDATA[辣鸡刘的Leetcode之旅3(SQL Part)【两表合并查询，第二高薪，挣钱比经理多, 重复值查询】]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/82290634</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/82290634</guid><author>Power1_Power2</author><pubDate>Sat, 01 Sep 2018 20:55:19 +0800</pubDate><description><![CDATA[1. 两表合并查询（Combine Two Tables）

题目描述：

Table: Person

+-------------+---------+
| Column Name | Type    |
+-------------+---------+
| PersonId    | int     |
| FirstName   | varchar |
| LastName    | v...]]></description><category></category></item><item><title><![CDATA[辣鸡刘的Leetcode之旅2【最长公共前缀，有效的括号，合并链表，删除排序数组中的重复项】]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/82084102</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/82084102</guid><author>Power1_Power2</author><pubDate>Sun, 26 Aug 2018 20:32:40 +0800</pubDate><description><![CDATA[
Longest Common Prefix




2. 最长公共前缀

问题描述: 
Write a function to find the longest common prefix string amongst an array of strings. 
If there is no common prefix, return an empty string ” “. 
编写一个函数来查...]]></description><category></category></item><item><title><![CDATA[辣鸡刘的LeetCode之旅-1 [two Sum算法，反转整数算法，回文数，罗马数转整数]]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/81871268</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/81871268</guid><author>Power1_Power2</author><pubDate>Mon, 20 Aug 2018 21:44:36 +0800</pubDate><description><![CDATA[从今天开始，辣鸡刘学习一下搞搞算法，确定了leetcode网站，从最简单的开始学习和思考。 
入门算法， 
1. Two Sum 
描述： 
Given an array of integers, return indices of the two numbers such that they add up to a specific target. 
You may assume that ea...]]></description><category></category></item><item><title><![CDATA[机器学习实例（3)]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/81838532</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/81838532</guid><author>Power1_Power2</author><pubDate>Sun, 19 Aug 2018 19:30:29 +0800</pubDate><description><![CDATA[接上节机器学习实例2 
上一节我们对所要处理的数据进行了分类（训练集和测试集），本节的主要目的是特征处理，关于数据集的特征信息我们已经在上一节详细介绍，这次直接进行处理：



from sklearn.feature_extraction import DictVectorizer
dict_vect=DictVectorizer(sparse=False)

以上代码的目的：

接着

X_t...]]></description><category></category></item><item><title><![CDATA[Matlab常用函数[round, fix, floor, ceil,  size,  line, strcat，strfind]]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/81330050</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/81330050</guid><author>Power1_Power2</author><pubDate>Sun, 12 Aug 2018 16:52:19 +0800</pubDate><description><![CDATA[
round(x); 
 浮点数取整函数；小数部分≥0.5，则向前进1，不足则退1；


a=1.2
b=1.6
aa=round(a) #输出：1
bb=round(b) #输出：2

2.fix(x); 
    完全舍去小数部分（无论大小），不做演示； 
3. floor(x); 
    结果为小于浮点数x,最接近x的整数；

a=1.2
b=1.6
aa=floor(a) #输出：1
b...]]></description><category></category></item><item><title><![CDATA[机器学习实例（2）]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/81559344</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/81559344</guid><author>Power1_Power2</author><pubDate>Fri, 10 Aug 2018 15:35:35 +0800</pubDate><description><![CDATA[接上节： 
接下来我们要做的工作是缕清楚数据集的各个特征的特点，针对不同的特征提出不同的处理方法：

由于机器学习处理的都是都是数值信息，但是数据集有一部分是文本信息，这就需要对不同的文本信息进行不同的处理了。即下一步工作： 
 1. 特征的类别信息

age:连续性数值变量；可能的处理方法：分年龄段；
workcass: Private, Self-emp-not-inc, Self-emp-i...]]></description><category></category></item><item><title><![CDATA[利用Matlab实现图像配准]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/81362553</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/81362553</guid><author>Power1_Power2</author><pubDate>Thu, 02 Aug 2018 16:23:16 +0800</pubDate><description><![CDATA[之前利用MATLAB配准图像，按照官网的代码进行配准：



clc;clear;
%配准图片的导入
fixed=imread('D:\Test\患侧1组白光图.tif');
moving=imread('D:\Test\健侧1组白光图.tif');
%显示配准之前的图片
figure, imshowpair(moving, fixed, 'montage')
title('Unregistere...]]></description><category></category></item><item><title><![CDATA[详解：Python2.x与3​​.x版本区别]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/81258243</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/81258243</guid><author>Power1_Power2</author><pubDate>Sat, 28 Jul 2018 10:33:30 +0800</pubDate><description><![CDATA[Python的3​​.0版本，常被称为Python 3000，或简称Py3k。相对于Python的早期版本，这是一个较大的升级。 
为了不带入过多的累赘，Python 3.0在设计的时候没有考虑向下相容。 
许多针对早期Python版本设计的程式都无法在Python 3.0上正常执行。 
为了照顾现有程式，Python 2.6作为一个过渡版本，基本使用了Python 2.x的语法和库，同时考虑了向...]]></description><category></category></item><item><title><![CDATA[视频编码----H.264到H.265的转码]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/80360150</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/80360150</guid><author>Power1_Power2</author><pubDate>Fri, 18 May 2018 09:57:08 +0800</pubDate><description><![CDATA[背景及意义 
 
最新的高效视频编码 (HEVC) 标准相比H. 264高级视频编码标准实现了显著的压缩效率改进（50%），由于其优越的压缩性能, 它在许多应用中迅速被采用。 
与H.264 标准相比，HEVC编码的计算复杂度非常高，使得难以在广泛用到的多媒体转码中的通用处理器上实现实时的高质量编码。 
由于目前H.264广泛而深入的应用，大量现有的内容已经使用 H.264标准编码, 这时候如果...]]></description><category></category></item><item><title><![CDATA[Sklearn（3）]]></title><link>https://blog.youkuaiyun.com/Power1_Power2/article/details/80291820</link><guid>https://blog.youkuaiyun.com/Power1_Power2/article/details/80291820</guid><author>Power1_Power2</author><pubDate>Mon, 14 May 2018 15:18:42 +0800</pubDate><description><![CDATA[今天给大家带来的是商品预测案例： 
文件描述：



sales_train.csv - the training set. Daily historical data from January 2013 to October 2015.
test.csv - the test set. You need to forecast the sales for these shops and prod...]]></description><category></category></item></channel></rss>