This series of videos are focused on explaining dynamic programming by illustrating the application of digit DP through the use of selected problems from platforms like Codeforces, Codechef, SPOJ, CSES and Atco
This can be done in O(N*logN) using FFT. But doing this N times will get TC O(N*N*logN) Now, how to optimize this? Spoiler This is one of the idea to optimize recurrence using FFT. Problem that can be solved using this technique: Colourful Balls-codechef → Reply ...
[CodeChef-ANUDTQ] Dynamic Trees and Queries 类似维护括号序列,给每个点建两个点,然后所有操作都能轻松支持了。注意sum和lastans是long long。 1#include<cstdio>2#include<algorithm>3#definerep(i,l,r) for (int i=(l); i<=(r); i++)4#defineFor(i,x) for (int i=h[x],k; i; i=nxt[...
Code Issues Pull requests My solutions for different online judges: UVa, LightOJ, SPOJ, Codeforces, Codechef, Atcoder, Timus, URI etc. java math cpp geometry array stl competitive-programming sort acm-icpc graph-theory adhoc acm programming-contests binary-search number-theory string-processing ...
动态规划是一种实用的技巧,它可以用来解决一系列特定问题。它的思路很简单,如果你对某个给定的输入解决了一个问题,那么你可以保存已有信息,以避免重复计...
一些著名的动态规划问题及其实现Floyd Warshall 算法 - 教程与C实现源码 整数背包问题 - 教程与C实现源码 最长公共子序列问题 - 教程与C实现源码在线资源codechef 洛谷有建议?或者发现什么错误?在GitHub上开一个issue,或者发起pull request! 原著Akashdeep Goel,并由2个好心人修改。
其中X=Dynamic Programming动态规划简介动态规划是一种实用的技巧,它可以用来解决一系列特定问题。它的思路很简单,如果你对某个给定的输入解决了一个问题,那么你可以保存已有信息,以避免重复计算,节约计算时间。记住,如果忘记历史,就要被迫做更多的苦力。斐波那契数列就是一个显然的例子。解决问题的方式...
This series of videos are focused on explaining dynamic programming by illustrating the application of DP through the use of selected problems from platforms like Codeforces, Codechef, SPOJ, CSES and Atcoder. After going through this series, you should find yourself confident in approaching dynamic ...
Hi I have already released the playlist for Codechef August Long Challenge 2017here. A lot of coders face issues with DP as a beginner.. It can be very scary at first, and I understand that. This is my attempt where I have started a playlist on YouTube where in I will publish videos...
This can be done in O(N*logN) using FFT. But doing this N times will get TC O(N*N*logN) Now, how to optimize this? Spoiler This is one of the idea to optimize recurrence using FFT. Problem that can be solved using this technique: Colourful Balls-codechef → Reply ...