The Naive approach is to find all the possible combinations of values from n dice and keep on counting the results that sum to X.
This problem can be efficiently solved using Dynamic Programming (DP).
Sum(6, 3, 8) = Sum(6, 2, 7) + Sum(6, 2, 6) + Sum(6, 2, 5) +
Sum(6, 2, 4) + Sum(6, 2, 3) + Sum(6, 2, 2)
To evaluate Sum(6, 3, 8), we need to evaluate Sum(6, 2, 7) which can
recursively written as following:
Sum(6, 2, 7) = Sum(6, 1, 6) + Sum(6, 1, 5) + Sum(6, 1, 4) + Sum(6, 1, 3) + Sum(6, 1, 2) + Sum(6, 1, 1)
We also need to evaluate Sum(6, 2, 6) which can recursively written
as following:
Sum(6, 2, 6) = Sum(6, 1, 5) + Sum(6, 1, 4) + Sum(6, 1, 3) + Sum(6, 1, 2) + Sum(6, 1, 1)
..............................................
..............................................
Sum(6, 2, 2) = Sum(6, 1, 1)
Please take a closer look at the above recursion. The sub-problems in RED are solved first time and sub-problems in BLUE are solved again (exhibit overlapping sub-problems). Hence, storing the results of the solved sub-problems saves time
This problem can be efficiently solved using Dynamic Programming (DP).
Let the function to find X from n dice is: Sum(m, n, X) The function can be represented as: Sum(m, n, X) = Finding Sum (X - 1) from (n - 1) dice plus 1 from nth dice + Finding Sum (X - 2) from (n - 1) dice plus 2 from nth dice + Finding Sum (X - 3) from (n - 1) dice plus 3 from nth dice ................................................... ................................................... ................................................... + Finding Sum (X - m) from (n - 1) dice plus m from nth dice So we can recursively write Sum(m, n, x) as following Sum(m, n, X) = Sum(m, n - 1, X - 1) + Sum(m, n - 1, X - 2) + .................... + Sum(m, n - 1, X - m)
Sum(6, 3, 8) = Sum(6, 2, 7) + Sum(6, 2, 6) + Sum(6, 2, 5) +
Sum(6, 2, 4) + Sum(6, 2, 3) + Sum(6, 2, 2)
To evaluate Sum(6, 3, 8), we need to evaluate Sum(6, 2, 7) which can
recursively written as following:
Sum(6, 2, 7) = Sum(6, 1, 6) + Sum(6, 1, 5) + Sum(6, 1, 4) + Sum(6, 1, 3) + Sum(6, 1, 2) + Sum(6, 1, 1)
We also need to evaluate Sum(6, 2, 6) which can recursively written
as following:
Sum(6, 2, 6) = Sum(6, 1, 5) + Sum(6, 1, 4) + Sum(6, 1, 3) + Sum(6, 1, 2) + Sum(6, 1, 1)
..............................................
..............................................
Sum(6, 2, 2) = Sum(6, 1, 1)
Please take a closer look at the above recursion. The sub-problems in RED are solved first time and sub-problems in BLUE are solved again (exhibit overlapping sub-problems). Hence, storing the results of the solved sub-problems saves time
// C++ program to find number of ways to get sum 'x' with 'n'
// dice where every dice has 'm' faces
#include <iostream>
#include <string.h>
using
namespace
std;
// The main function that returns number of ways to get sum 'x'
// with 'n' dice and 'm' with m faces.
int
findWays(
int
m,
int
n,
int
x)
{
// Create a table to store results of subproblems. One extra
// row and column are used for simpilicity (Number of dice
// is directly used as row index and sum is directly used
// as column index). The entries in 0th row and 0th column
// are never used.
int
table[n + 1][x + 1];
memset
(table, 0,
sizeof
(table));
// Initialize all entries as 0
// Table entries for only one dice
for
(
int
j = 1; j <= m && j <= x; j++)
table[1][j] = 1;
// Fill rest of the entries in table using recursive relation
// i: number of dice, j: sum
for
(
int
i = 2; i <= n; i++)
for
(
int
j = 1; j <= x; j++)
for
(
int
k = 1; k <= m && k < j; k++)
table[i][j] += table[i-1][j-k];
/* Uncomment these lines to see content of table
for (int i = 0; i <= n; i++)
{
for (int j = 0; j <= x; j++)
cout << table[i][j] << " ";
cout << endl;
} */
return
table[n][x];
}
// Driver program to test above functions
int
main()
{
cout << findWays(4, 2, 1) << endl;
cout << findWays(2, 2, 3) << endl;
cout << findWays(6, 3, 8) << endl;
cout << findWays(4, 2, 5) << endl;
cout << findWays(4, 3, 5) << endl;
return
0;
}
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