tourist in the last contest has achieved 1st place and crossed 4000 rating and become the first person on codeforces in the rank Tourist
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tourist in the last contest has achieved 1st place and crossed 4000 rating and become the first person on codeforces in the rank Tourist
Backtracking: This algorithm helps you solve problems in a specific way using your skills in recursive programming. It comes in handy whenever you have a set of valid answers to a problem and need to search through them all or construct a suitable answer, this algorithm is a general algorithm for finding all or some solutions in some computational problems. The backtracking method is an algorithmic method to solve some kind of problems in which we need to build and examine all possible situations or a number of good situations of an arrangement(combination), in this algorithm all possible situations are created , and after examining each one, if it is approved based on the request of the problem we will accept it as a answer(kind of like brute force we find each possible combination). Note that this method is useful when we cant use a faster algorithm(like: Greedy or Dp).
the General Backtracking Method is like this(pseudocode):
solve(X):
if X is accepted:
X is answer
exit
while we can change X:
change X
if X is valid:
solve(X)
undo last change from X
The base of the algorithm is in 4 parts: the condition of finding the answer (lines 1 to 3) — finding all the different states of the answer (lines 4 to 6) — recursive call (line 7) — return the last change made (line 8).
Some Backtracking Problems:
1-Print all strings of length n that are made only of letters a, b, and c.
Backtracking method: We perform the same general method, we add one of the letters to the string each round and print it when the length of the string is equal to n, and until the length of the string is less than is n, we repeat this process (if the length of the string is greater than n, we backtrack), code in C++
vector<char> temp;
void print(){
for (int i = 0; i < n; i++) cout << temp[i];
cout << "\n";
}
void solve(int i){
if (i == n) print();
else if (i > n) return;
else {
char chr[3] = {‘a’ , ‘b’ , ‘c’};
for (int j = 0; j < 3; j++){
//changing
temp.push_back(chr[j]);
//recursive call
solve(i+1);
//undo last change
temp.pop_back();
}
}
}
2-A horse is in the cell (0,0) in a n*n chessboard. That is, in the upper-left corner, you have to say the number of cells that the horse can reach with exactly k moves.
Backtracking method: we move till, when the number of moves is equal to k, if a new cells found, we add it to our answers (because we may reach the same cells with two different methods). otherwise, if the moves made were more than k, we go back (we backtrack), and if it was less than k, we move the 8 possible moves of the horse and with the condition that after the move we stay inside the chess board, we do each movement again and... , code in C++(result is saved in ans variable)
int ans;
vector<int> answers;
bool inside(int x , int y){
return x >= 0 && x < n && y >= 0 && y < n;
}
void solve(int x , int y , int i){
if(i == k && !count(answers.begin() , answers.end() , make_pair(x , y)){
answers.push_back(make_pair(x , y));
ans++;
return;
}else if(i > k) return;
else{
//all possible moves by a knight
int dx[8] = {1 , 2 , -1 , -2 , -1 , -2 , 1 , 2};
int dy[8] = {2 , -1 , -2 , 1 , 2 , -1 , -2 , 1};
for(int j = 0 ; j < 8 ; j++){
int new_x = x + dx[j];
int new_y = y + dy[j];
//changing
if(inside(new_x , new_y)) //checking is valid
solve(new_x , new_y , i+1); //recursive call
}
}
}
Backtracking method: in the string each time we reach a '?' , first we will turn it into '-' then into '+' (or reversed) , and when there is no more '?' we count, if it is accepted we will increase the good ways.
#include <bits/stdc++.h>
using namespace std;
string s1;
string s2;
double goods= 0;
double all = 0;
void backtrack(int i , int res){
if(s2[i] == '?'){
//changing
s2[i] = '-';
//recursive call
backtrack(i , res);
s2[i] = '+';
backtrack(i , res);
//undo last change
s2[i] = '?';
}else if(i == s1.length()-1){
int ans = 0;
all++;
for(auto c : s2){
if(c == '+') ans++;
else ans--;
}
if(ans == res) goods++;
return;
}
if(i >= s1.length()){
return;
}
if(s2[i] == '+'){
backtrack(i+1 , res);
}
else if(s2[i] == '-'){
backtrack(i+1 , res);
}
return;
}
int main() {
ios::sycn_with_stdio(false); cin.tie(0); cout.tie(0);
cin >> s1 >> s2;
int res = 0;
for(auto c : s1){
if(c == '+') res++;
else res--;
}
backtrack(0 , res);
cout << setprecision(9) << goods/all;
}
Here are Some easy to intermediate codeforces graph and backtracking problems this problems normally only use some basic knowledge of graphs/trees + basic algorithms , I hope it helps
1944A - Destroying Bridges rate : 800 -> basic of graphs [Very Simple]
1598A - Computer Game rate : 800 -> not so much graph [Very Simple]
1797A - Li Hua and Maze rate : 800 -> not so much graph + edge cases [Very Simple]
1843C - Sum in Binary Tree rate : 800 -> not so much graph or tree [Very Simple]
939A - Love Triangle rate : 800 -> can be solved with graph or not [Very Simple]
115A - Party and 116C - Party rate : 900 -> bfs [Simple]
500A - New Year Transportation rate : 1000 -> dfs [Simple]
727A - Transformation: from A to B rate : 1000 -> backtracking / dfs [Simple]
476A - Dreamoon and Stairs rate : 1000 -> backtracking + some optimization [Simple]
1020B - Badge rate : 1000 -> dfs [Simple]
122A - Lucky Division rate : 1000 -> backtracking [Simple]
1324C - Frog Jumps rate : 1100 -> not so much graph but can be solved with dfs [Very Simple]
445A - DZY Loves Chessboard rate : 1200 -> can be solved with dfs [Simple(simpler than it's rating)]
217A - Ice Skating rate : 1200 -> dfs [Simple/Intermediate]
893C - Rumor rate : 1300 -> dfs [Simple]
476B - Dreamoon and WiFi rate : 1300 -> backtracking [Simple]
1638C - Inversion Graph rate : 1300 -> creativity [Simple/Intermediate]
1970C1 - Game on Tree (Easy) rate : 1300 -> trees + dfs/bfs [Simple/Intermediate]
96B - Lucky Numbers (easy) rate : 1300 -> backtracking [Simple]
1143C - Queen rate : 1400 -> trees + you can use dfs/bfs [Simple]
520B - Two Buttons rate : 1400 -> bfs [Simple/Intermediate]
580C - Kefa and Park rate : 1500 -> trees + dfs/bfs [Intermediate]
977E - Cyclic Components rate : 1500 -> dfs [Intermediate]
377A - Maze rate : 1600 -> bfs [Intermediate]
601A - The Two Routes rate : 1600 -> bfs / matrix [Intermediate/Hard]
1363C - Game On Leaves rate : 1600 -> trees / some edge cases only [Simple/Intermediate]
1144F - Graph Without Long Directed Paths rate : 1700 -> bipartite graphs [Intermediate/Hard]
1093D - Beautiful Graph rate : 1700 -> bipartite graphs [Intermediate/Hard]
1970C2 - Game on Tree (Medium) rate : 1700 -> a little hard + dfs/bfs [Intermediate/Hard]
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