Hduoj1579【水题】

/*Function Run Fun
Time Limit: 1000/1000 MS (Java/Others)    Memory Limit: 32768/32768 K (Java/Others)
Total Submission(s): 2345    Accepted Submission(s): 1223


Problem Description
We all love recursion! Don't we?

Consider a three-parameter recursive function w(a, b, c):

if a <= 0 or b <= 0 or c <= 0, then w(a, b, c) returns:
  1

if a > 20 or b > 20 or c > 20, then w(a, b, c) returns:
  w(20, 20, 20)

if a < b and b < c, then w(a, b, c) returns:
  w(a, b, c-1) + w(a, b-1, c-1) - w(a, b-1, c)

otherwise it returns:
w(a-1, b, c) + w(a-1, b-1, c) + w(a-1, b, c-1) - w(a-1, b-1, c-1)


This is an easy function to implement. The problem is, if implemented directly, for moderate values of a, b and c (for example, a = 15, b = 15
, c = 15), the program takes hours to run because of the massive recursion. 

Input
The input for your program will be a series of integer triples, one per line, until the end-of-file flag of -1 -1 -1. Using the above 
technique, you are to calculate w(a, b, c) efficiently and print the result.
 
Output
Print the value for w(a,b,c) for each triple.
 
Sample Input
1 1 1
2 2 2
10 4 6
50 50 50
-1 7 18
-1 -1 -1
 
Sample Output
w(1, 1, 1) = 2
w(2, 2, 2) = 4
w(10, 4, 6) = 523
w(50, 50, 50) = 1048576
w(-1, 7, 18) = 1
 

Source
冬练三九之一 
 

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*/
#include<stdio.h>
int we[22][22][22];
int main()
{
	int i, j, k, a, b, c;
	for(i = 0; i < 21; ++i)
	for(j = 0; j < 21; ++j)
	for(k = 0; k < 21; ++k)
	{
		if(i <= 0 || j <= 0 || k <= 0)
		we[i][j][k]  = 1;
		else if(i >= 20 || j >= 20 || k >= 20)
		we[i][j][k]  = 1048576;
		else if(i < j && j < k)
		we[i][j][k]  =  we[i][j][k-1] + we[i][j-1][k-1] - we[i][j-1][k];
		else
		we[i][j][k]  =  we[i-1][j][k] + we[i-1][j-1][k] + we[i-1][j][k-1] - we[i-1][j-1][k-1];
	}
	while(scanf("%d%d%d", &a, &b, &c) != EOF)
	{
		if(a==-1&&b==-1&&c==-1)
		break;
		if(a <= 0 || b <= 0 || c <= 0)
		printf("w(%d, %d, %d) = 1\n", a, b, c);
		else if( a >= 20 || b >= 20 || c >= 20)
		printf("w(%d, %d, %d) = 1048576\n", a, b, c);
		else
		printf("w(%d, %d, %d) = %d\n", a, b, c, we[a][b][c]);
	}
	return 0;
}

难点:不能用递归函数去做,直接打表,否则就超时了。

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