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  • You have recently been introduced to a new client, Mike, who has GBP £1,000,000 in a savings account2022-04-20 07:31:59

    You have recently been introduced to a new client, Mike, who has GBP £1,000,000 in a savings account. Following the client profiling stage and based on the client’s investment objectives and risk profile, you have decided to invest 20% of the portfolio in

  • vim中如何保存打开过的文件路径mru插件的安装2022-02-06 13:02:27

    mru.vim - Plugin to manage Most Recently Used (MRU) files : vim online yegappan/mru: Most Recently Used (MRU) Vim Plugin (github.com) 另外提供一段代码用于保存文件编辑位置 " Return to last edit position when opening files (You want this!) autocmd BufReadPost

  • QUESTION 194-It retrieves the most recently dropped version of the table.2021-06-21 23:32:52

    You plan to use the Flashback Drop feature to recover the SALES_EMP table that was dropped in error. No other table with the sname name exists in the SH schema, which owns the table. You query the RECYCLEBIN and file multiple entries for the SALES_E

  • 【数据结构】算法设计 LRU Least Recently Used 最近最少使用算法2021-06-06 11:34:39

    目录LRU Least Recently Used 最近最少使用算法思路Tag LRU Least Recently Used 最近最少使用算法 LRU可以算是书本中比较熟悉的算法了,有缓存存在的场景下,基本都会有它的身影。它的作用就是在空间一定的缓存中,淘汰掉最近最少使用的数据,这样就有空间容纳新的数据。 那么假如需要设

  • 【AIX】3004-314 Password was recently used and is not valid for reuse2021-04-10 11:03:11

    【AIX】3004-314 Password was recently used and is not valid for reuse【AIX】3004-314 Password was recently used and is not valid for reuse 一.1  BLOG文档结构图  一.2  前言部分 一.2.1  导读和注意事项各位技术爱好者,看完本文后,你可以掌握如下的技能,也可以学到

  • 【AIX】3004-314 Password was recently used and is not valid for reuse2021-04-08 11:03:41

    一.1  BLOG文档结构图  一.2  前言部分 一.2.1  导读和注意事项各位技术爱好者,看完本文后,你可以掌握如下的技能,也可以学到一些其它你所不知道的知识,~O(∩_∩)O~:① AIX修改密码碰到3004-314错误   Tips:       ① 若文章代码格式有错乱,推荐使用QQ、搜狗或360浏览

  • Dynamics 365 如何关闭Lookup字段的最近使用记录2020-04-03 12:58:24

    D365 9.X 之后对lookup多了一个recently used item的功能.       这个功能的打开关闭在field 的 property中  

  • 【文献导读】 Faster R-CNN人脸检测2019-10-24 19:39:37

    一、文章背景 文章题目《Face Detection with the Faster R-CNN》 文章下载地址:https://arxiv.org/abs/1606.03473 二、文章导读 (一)文章摘要部分: The Faster R-CNN has recently demonstrated impressive results on various object detection benchmarks. By training a Fast

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