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1520 : 내리막길(미제) (Dynamic Programming) [C,C++]

답은 알맞게 나오는 데 시간이 자꾸 초과된다.

3시간 째 붙잡고 있지만 플러드 필 문제로 밖에 생각이 안되는 데

플러드 필을 사용하면 시간이 오바가 나고..

경로의 수를 각 배열 인덱스에 저장하면서 나아가는 것 같기도 한데,

사실 상 이것도 플러드 필과 다를 바 없어서 내일 시험 끝나고 다른 방법을 고안해봐야할 것 같다.

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11004 : K번째 수 [C++]

# include < iostream > # include < cstdio > # include < algorithm > int main ( ) { int * Number = new int [ 5000000 ] ; int N , K ; scanf ( " %d %d " , & N , & K ) ; for ( int i = 0 ; i < N ; i + + ) scanf ( " %d " , Number [ i ] ) ; std :: sort ( Number , Number + N ) ; printf ( " %d " , Number [ K - 1 ] ) ; return 0 ; }

1149 : RGB Street Coloring (Dynamic Programming) [C,C++]

The key to this problem lies in understanding the principles. Let me explain the algorithm to solve the problem by using DP. First, you need the same storage space like input data's size. When you draw any color of the nth house, the space will contain the minimum value. If you paint the red in the second house, this value is sum of blue or green of the first house.  You must use DP because you must use the previous value.  Of course, you can also use the recursive algorithm to solve it. But if it gets bigger, it will take a lot of time.  If you paint the red in the nth house in the same way, you should add the lower value of the blue and green of the n-1th house.  Therefore, the minimum value can be found in the value of the storage space (n-1) index. <pesudo code> *Source of the problem =  https://www.acmicpc.net/problem/1149 *문제 출처 : BAEKJOON ONLINE JUDGE

11478 : 서로 다른 부분 문자열의 개수 (미제) [C++]

# include < iostream > # include < vector > # include < string > using namespace std ; int main ( ) { string sInput ; getline ( cin , sInput , '\n' ) ; int Time = 1 ; int Count = 0 ; vector < string > Storage ; for ( int i = 0 ; i < sInput . size ( ) ; i + + ) { for ( int j = 0 ; ( j + Time - 1 ) < sInput . size ( ) ; j + + ) Storage . push_back ( sInput . substr ( j , Time ) ) ; Time + + ; } bool * Visited = new bool [ Storage . size ( ) * sizeof ( bool ) ] ; for ( int i = 0 ; i < Storage . size ( ) ; i + + ) { Visited [ i ] = true ; for ( int j = 0 ; j < Storage . size ( ) ; j + + ) { if ( i ! = j & & Storage [ i ] = = Storage [ j ] ) { Visited [ i ] = false ; Visited [ j ] = true ; break ; } } } for ( int i = 0 ; i < Storage . size ( ) ; i + + ) if ( Visited [ i ] ) Count ...