1--软件工程、敏捷开发

2--搭建环境

标签智能推荐:

Spring Boot基础教程

x基础教程:版本关系SpringBoot2.x基础教程:快速入门SpringBoot2.x基础教程:工程结构推荐配置详解SpringBoot2.x基础教程:配置文件详解SpringBoot2.x基础教程:2.4版本前后的多环境配置变化SpringBoot2.x基础教程:2.4版本前后的分组配置变化SpringBoot2.x基础教程:配置元数据的应用API开发SpringBoot2.x基础教程:构建

Big O notation

cal{O}$)$f(x)=O(g(x))$f(x)isasymtoticallyboundedabovebyg(x)uptoaconstantfactor $f(x)=\Theta(g(x))$f(x)isasymtoticallyboundedabove andbelowbyg(x)uptoconstantfactors $f(x)=\Omega(g(x))$f(

求证:-1/2 <= {2x} - {x} < 1/2

证:由x=[x]+{x},知2x=2[x]+2{x}。1、若{x}落在[0,1/2),则2{x}&lt;1,于是有{2x}=2{x},此时{2x}-{x}={x},落在[0,1/2)。2、若{x}落在[1/2,1),则2{x}落在[1,2),于是{2x}=2{x}-1,此时{2x}-{x}={x}-1,落在[-1/2,0)。综上,命题成立。

函数的奇偶性

x)=f(x)f(-x)\),则\(F(-x)=F(x)\)为偶函数.\(B\)选项:设\(G(x)=f(x)|f(-x)|\),则\(G(-x)=f(-x)|f(x)|\).\(∴G(x)\)与\(G(-x)\)关系不定.\(C\)选项:设\(M(x)=f(x)-f(-x)\),\(∴M(-x)=f(-x)-f(x)=-M(x)\),\(∴M(x)\)为奇函数.\(D\)选项:设\(N(x)=f

MIME大全

milimage/x-calsmioaudio/x-miommfapplication/x-skt-lbsmngvideo/x-mngmnyapplication/x-msmoneymocapplication/x-mochamochaapplication/x-mochamodaudio/x-modmofapplication/x-yumekaramolchemical/x-mdl-molfil

BZOJ1095 动态点分治

,17,0)if(up[x][i]!=up[y][i])x=up[x][i],y=up[y][i];returnup[x][0];}inlineintdis(intx,inty){returndep[x]+dep[y]-2*dep[lca(x,y)];}inlinevoidfindrt(intx,intanc){sz[x]=1,mx[x]=0;go(x){if(vis[to[e]]||to[e]=

MIME 类型列表,input file接受类型一览表,限制文件上传类型

on/x-bcpiobcpioapplication/x-cdfcdfapplication/x-compressapplication/x-compressedtgzapplication/x-cpiocpioapplication/x-cshcshapplication/x-directordcrapplication/x-directordirapplication/x-directordx

Mime 类型列表

on/x-bcpiobcpioapplication/x-cdfcdfapplication/x-compresszapplication/x-compressedtgzapplication/x-cpiocpioapplication/x-cshcshapplication/x-directordcrapplication/x-directordirapplication/x-directord

多项式求逆

\mathrm{mod\:}x^\frac{n}{2})\\(F(x)\timesG_0(x)-1)^2&amp;\equiv0(\mathrm{mod\:}x^n)\\(F(x)\timesG_0(x))^2+1-2\timesF(x)\timesG_0(x)&amp;\equiv0(\mathrm{mod\:}x^n)\\F(x)^2\timesG_0(x)^2+1-2\timesF(x)\t

module 'tensorflow' has no attribute 'space_to_depth'(已解决)

tensorflow1.x:&nbsp;tensorflow.space_to_depthtensorflow2.x:&nbsp;tensorflow.nn.space_to_depth