递归的时间复杂度计算

对于T(n) = a*T(n/b)+c*n^k;T(1) = c 这样的递归关系,有这样的结论:   
if (a > b^k)   T(n) = O(n^(logb(a)));logb(a)b为底a的对数  
if (a = b^k)   T(n) = O(n^k*logn);  
if (a < b^k)   T(n) = O(n^k);  
  
a=25; b = 5 ; k=2  
  
a==b^k 故T(n)=O(n^k*logn)=O(n^2*logn)  
  
  
T(n) = 25T(n/5)+n^2   
= 25(25T(n/25)+n^2/25)+n^2  
= 625T(n/25)+n^2+n^2 = 625T(n/25) + 2n^2  
= 25^2 * T( n/ ( 5^2 ) ) + 2 * n*n  
= 625(25T(n/125)+n^2/625) + 2n^2  
= 625*25*T(n/125) + 3n^2  
= 25^3 * T( n/ ( 5^3 ) ) + 3 * n*n  
= ....  
= 25 ^ x * T( n / 5^x ) + x * n^2  
  
T(n) = 25T(n/5)+n^2  
T(0) = 25T(0) + n^2 ==> T(0) = 0  
T(1) = 25T(0)+n^2 ==> T(1) = 1  
  
x = lg 5 n  
  
  25 ^ x * T( n / 5^x ) + x * n^2  
= n^2 * 1 + lg 5 n * n^2  
= n^2*(lgn)  

  

posted @ 2017-08-20 09:56  悟空的爸爸  阅读(813)  评论(0编辑  收藏  举报