hood distribution

This is a creation in Article, where the information may have evolved or changed. Project Address: Https://github.com/eaigner/hood This is a very aesthetic ORM library. Characteristics Chain-of-the-line API Transaction support Migration and namespace generation Model variables Model Time Database dialect interface No ambiguous fields Clean and testable code Open Database If the dialect is already registered you can open

D. Robin HoodWe all know the impressive story of Robin Hood. Robin Hood uses his archery skills and he wits to steal the money from rich, and return it to the poor.There is n citizens in Kekoland, with each person having Ci coins. Each day, Robin Hood'll take exactly 1 coin from the richest person in the city and he would give it to the poorest p Erson (poorest person right after taking richest ' s 1 coin

1112-curious Robin Hood PDF (中文版) Statistics Forum Time Limit: 1 second (s) Memory Limit: Up to MB Robin Hood likes to loot rich people since he helps the poor people with this money. Instead of keeping all the money together he does another trick. He keeps nsacks where he keeps this money. The sacks is numbered from 0 to n-1.Now al

http://jbeckwith.com/2014/09/20/how-the-azure-portal-works/So-i Haven ' t been doing much blogging or speaking on WebMatrix or node recently. For the last year and a half, I ' ve been part of the team that ' s building the new Azure Portal-and It's been quite an exp Erience. A lot have been said about the end to end experience, theintegration of Visual Studio Online, and even some of the new serv Ices that has been released lately. All of the that's awesome, but it's not the what I want to talk

codeforces-672d Robin Hood Time Limit: 1000MS Memory Limit: 262144KB 64bit IO Format: %i64d %i64u Submitstatus Description We all know the impressive story of Robin Hood. Robin Hood uses his archery skills and he wits to steal the money from rich, and return it to the poor. There is n citizens in Kekoland, with each person

/t9WbRVpIdHkHttp://www.tudou.com/programs/view/omNsOrwsxvM?g1yb=lz7Http://www.tudou.com/programs/view/omNsOrwsxvMHttp://www.tudou.com/programs/view/sLiSNbbu7OA?diva=p3Http://www.tudou.com/programs/view/sLiSNbbu7OAHttp://www.tudou.com/programs/view/yD5-OqhNJPk?zrnp=U5Http://www.tudou.com/programs/view/yD5-OqhNJPkHttp://www.tudou.com/programs/view/9wEsU1Eae_g?m2fs=X7Http://www.tudou.com/programs/view/9wEsU1Eae_ghttp://www.tudou.com/programs/view/2zvIF8NLtMI?95ru=210Http://www.tudou.com/programs/vi

Test instructions: There are n individuals, everyone a[i] items, K operations, each time from the richest hand to take an item to the poorest peopleAsk K operations, the most items of people and items with the least number of different itemsAnalysis: If the number of times enough, the final affirmation in the average up and down, small up to sum/n, the largest reduction to sum/n, or sum/n+1And then it's a two-minute minimum, to see if all the small can be filled in k times.Two-point maximum, see

Problem solving ideas: by the minimum and the maximum value of the respective two points.by l* (A[l+1]-a[l]): To fill 1~l to a[l+1] the height of how much money, if greater than the remaining K can be performed if the remaining k is the L, if the minimum value is a[l], otherwise a[l]+k/l;by (n-r+1) * (A[r]-a[r-1]): How much is required to remove this part of the n~n-r+1, if greater than the remaining k is performed if the remaining k is n-r+1, if the maximum value is a[n-r+1]-k/(n-r+1);If the ma

]; ans1=A[pos]; Ans1=ans1+tmp/POS; Memset (P,0,sizeofp); Memset (c,0,sizeofc); for(inti=n;i>=1; i--) p[i]=p[i+1]+A[i]; for(inti=n;i>=1; i--) c[i]=p[i+1]-(n-i) *A[i]; for(inti=n;i>=1; i--)if(c[i]i; TMP=k; Tmp=tmp-c[pos]; Ans2=A[pos]; Ans2=ans2-tmp/(n-pos+1); printf ("%lld", ans2-ans1);}intMain () {scanf ("%d%lld",n,k); for(intI=1; i) {scanf ("%lld",A[i]); Sum=sum+A[i]; } sort (A+1, A +1+N); if(sum%n==0) {LL x=0; sum=sum/N; for(intI=1; iA[i]); if(k>=x/2) printf ("0\n"); ElseWork (); } Els

B. Robin HoodTime limit per test1 secondMemory limit per testMegabytesInputStandard inputOutputStandard output We all know the impressive story of Robin Hood. Robin Hood uses his archery skills and he wits to steal the money from rich, and return it to the poor. There is n citizens in Kekoland, with each person having CI coins. Each day, Robin Hood'll take exactly 1 coin from the richest person in the city

1112-curious Robin Hood PDF (中文版) Statistics Forum Time Limit: 1 second (s) Memory Limit: Up to MB Robin Hood likes to loot rich people since he helps the poor people with this money. Instead of keeping all the money together he does another trick. He keeps n sacks where he keeps this money. The sacks is numbered from 0 to n-1.Now a

Topic Connection Please poke hereTest instructions: N Each person has a certain wealth value CI, every day Robin Hood from the richest person to take the wealth of 1 points to the poorest people (after taking the poorest,can be returned), if there are many poorest people, choose one to give the value of wealth. Ask K days the richest man and the poorest of the poor wealth of the value of what.1 ≤ n ≤500 000, 0≤ k ≤1091 ≤ ci ≤109 Analysis:Every day wit

Reference: https://www.objc.io/issues/6-build-tools/cocoapods-under-the-hood/CocoaPods is a library dependency management tool for OS X and IOS applications. With CocoaPods, you can define your dependencies, called pods, and manage their versions easily over time and across Devel opment environments.The The philosophy behind CocoaPods is twofold. Firstly, including Third-party code in your projects involves many hoops. For the beginning Objective-c d

[Shader] special effect on distorted energy hood and special effect on shader Distortion Shader "Custom/ForceField" {Properties {_ Color ("Color", Color) = (0, 0, 0) _ NoiseTex ("NoiseTexture", 2D) = "white" {} // distortion degree _ DistortStrength ("DistortStrength", Range (0.2) = // distortion frequency _ DistortTimeFactor ("DistortTimeFactor", Range )) = 0.2 _ RimStrength ("RimStrength", Range (0, 10) = 2 _ IntersectPower ("IntersectPower", Range

follows:[Base]name=centos-5-basebaseurl=http://centos.ustc.edu.cn/centos/5/os/x86_64/# The other site:# you can find more site In:? id=13enabled=1gpgcheck=1gpgkey=http://centos.ustc.edu.cn/centos/5/os/x86_64/rpm-gpg-key-centos-5#released Updates[update]name=centos-5-updatesbaseurl=http://mirror.centos.org/centos/5/updates/x86_64/gpgcheck=1gpgkey= Http://centos.ustc.edu.cn/centos/5/os/x86_64/RPM-GPG-KEY-CentOS-5#packages used/produced in the build and not Released[addons]name=centos-5-addonsbase

Introduce today, the popup box and the small implementation of the shielding cover ~The popup box mainly uses the OnEnter () function in the COCOS2DX life cycle, which is the function that will be called when the layer is addchild (so if the OnEnter code is added to the INIT, the effect should be the same)The shield is implemented using the Menuitemimage and Layercolor, the former can set the area size and get the click, the latter can set the color4b. As follows:Main code://ShaderLayer.hvoid se

1, what is the index distribution family 1.1 basic descriptionExponential distribution is a kind of important distribution family, in statistical inference, exponential distribution family occupies an important position, which is widely used in various fields. Many of the statistical distributions are exponential

Distribution system to help traditional micro-business transformation of the Internet, quickly set up their own sales platform for micro-commerce, mobile distribution of the first weapon, distribution system built-in fission marketing program, promotional plug-in to achieve multi-channel sales of enterprise products, more people to participate in marketing togeth

Multinomial distribution The corresponding multivariate distribution can be obtained by extending the two-yuan case of two-yuan distribution to multiple variables. First, the Bernoulli distribution is extended to the multivariate hypothesis for the discrete variable x x, there may be K K, then x x observation is repres

Knowledge Points: Bernoulli distribution, two-item distribution, polynomial distribution, prior probability, posterior probability, conjugate distribution, beta distribution, beta-two-item distribution, negative two-item