Saturday 18 November 2017

C++ Program to Perform Optimal Paranthesization Using Dynamic Programming


Code:

#include   stdio.h
#include   limits.h
#include   iostream

using namespace std;

// Matrix Ai has dimension p[i-1] x p[i] for i = 1..n

int MatrixChainOrder(int p[], int n)
{
    /* For simplicity of the program, one extra row and one extra column are
     allocated in m[][].  0th row and 0th column of m[][] are not used */
    int m[n][n];
    int s[n][n];
    int i, j, k, L, q;

    /* m[i,j] = Minimum number of scalar multiplications needed to compute
     the matrix A[i]A[i+1]...A[j] = A[i..j] where dimention of A[i] is
     p[i-1] x p[i] */

    // cost is zero when multiplying one matrix.
    for (i = 1; i < n; i++)
        m[i][i] = 0;

    // L is chain length.
    for (L = 2; L < n; L++)
    {
        for (i = 1; i <= n - L + 1; i++)
        {
            j = i + L - 1;
            m[i][j] = INT_MAX;
            for (k = i; k <= j - 1; k++)
            {
                // q = cost/scalar multiplications
                q = m[i][k] + m[k + 1][j] + p[i - 1] * p[k] * p[j];
                if (q < m[i][j])
                {
                    m[i][j] = q;
                    s[i][j] = k;
                }
            }
        }
    }

    return m[1][n - 1];
}
int main()
{
    cout
            << "Enter the array p[], which represents the chain of matrices such that the ith matrix Ai is of dimension p[i-1] x p[i]";
    cout << "Enter the total length:";
    int n;
    cin >> n;
    int array[n];
    cout << "Enter the dimensions: ";
    for (int var = 0; var < n; ++var)
    {
        cin >> array[var];
    }
    cout << "Minimum number of multiplications is: " << MatrixChainOrder(array,
            n);
    return 0;
}


Output:

Enter the array p[], which represents the chain of matrices such that the ith matrix Ai is of dimension p[i-1] x p[i]Enter the total length:4
Enter the dimensions: 2 4 3 5
Minimum number of multiplications is: 54



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