題意:對每一個置換T,都存在一個T^k = e。現在讓你求一個n元置換,使得它的階最大,即當T^k = e時,k最大。若同時存在多個這樣的T,那麼輸出其中排序最小的。
題解:由於每一個置換都可以分解成若干個輪換,那麼這些輪換的階的最小公倍數就是該置換的階。
所以題目可以變成這樣:給你一個整數n,求n1+n2+n3```+ni = n。 並且n1,n2,```ni的最小公倍數最大。
1.求最小公倍數並不難,動態規劃解決。
2.那麼求得最小公倍數之後怎麼保證置換排序最小呢?
我們不妨令某個最小公倍數為lcmMax, 那麼將lcmMax因式分解之後得到 lcmMax = p1^k1*p2^k2*``pi^ki
並且p1^k1+p2^k2+···+pi^ki <= n。這個是顯然的,因為 lcmMax = p1^k1*p2^k2*``pi^ki <= n1*n2*n3```*ni
而n1+n2+n3```+ni = n,所以p1^k1+p2^k2+···+pi^ki <= n。
3.用次用pi^ki個元素構成一個輪換,那麼就能保證該置換T的階最大。
那麼你可能會問,剩下的元素怎麼辦呢?其實全部讓它們為一階輪換就OK了,因為一階輪換並不影響最後T的階。
#include<cstdio>#include<cstring>#include<algorithm>using namespace std;#define N 110#define lint __int64lint dp[N][N], maxLcm[N];lint factor[N], fnum;int p[25] ={2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31,37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97};inline lint gcd ( lint a, lint b ){ lint c; while ( b != 0 ) { c = a % b; a = b; b = c; } return a;}void split ( int n ){ int i, j, k, lcm; memset(dp,0,sizeof(dp)); for ( i = 1; i <= n; i++ ) dp[i][1] = i; for ( i = 2; i <= n; i++ ) for ( j = 2; j <= i; j++ ) for ( k = 1; k < i && i-k >= j-1; k++ ) { lcm = dp[i-k][j-1] * k / gcd(dp[i-k][j-1], k); if ( lcm > dp[i][j] ) dp[i][j] = lcm; } for ( i = 1; i <= n; i++ ) { maxLcm[i] = 0; for ( j = 1; j <= n; j++ ) if ( dp[i][j] >= maxLcm[i] ) maxLcm[i] = dp[i][j]; }}void split ( lint num ){ fnum = 0; for ( int i = 0; i < 25; i++ ) { if ( num % p[i] ) continue; factor[fnum] = 1; while ( num % p[i] == 0 ) { factor[fnum] *= p[i]; num /= p[i]; } fnum++; }}int main(){ int t, n; split(100); scanf("%d",&t); while ( t-- ) { scanf("%d",&n); split ( maxLcm[n] ); sort(factor,factor+fnum); int i, j, k, tmp = 0; for ( i = 0; i < fnum; i++ ) tmp += factor[i]; printf("%I64d",maxLcm[n]); for ( i = 1; i <= n - tmp; i++ ) printf(" %d",i); k = n - tmp; for ( i = 0; i < fnum; i++ ) { for ( j = 2; j <= factor[i]; j++ ) printf(" %d",k+j); printf(" %d",k+1); k += factor[i]; } printf("\n"); } return 0;}