uva 348 Optimal Array Multiplication Sequence (DP)

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Optimal Array Multiplication Sequence

Given two arrays A and B, we can determine the array C =A B using the standard definition of matrix multiplication:

The number of columns in the A array must be the same as the number of rows in theB array. Notationally, let's say that rows(A) and columns(A) are the number of rows and columns, respectively, in theA array. The number of individual multiplications required to compute the entireC array (which will have the same number of rows as A and the same number of columns asB) is then rows(A) columns(B) columns(A). For example, ifA is a tex2html_wrap_inline67 array, andB is a tex2html_wrap_inline71 array, it will taketex2html_wrap_inline73 , or 3000 multiplications to compute theC array.

To perform multiplication of more than two arrays we have a choice of how to proceed. For example, ifX, Y, and Z are arrays, then to compute X Y Z we could either compute (X Y)Z or X (Y Z). Suppose X is a tex2html_wrap_inline103 array,Y is a tex2html_wrap_inline67 array, andZ is a tex2html_wrap_inline111 array. Let's look at the number of multiplications required to compute the product using the two different sequences:

(X Y) Z

  • tex2html_wrap_inline119 multiplications to determine the product (X Y), atex2html_wrap_inline123 array.
  • Then tex2html_wrap_inline125 multiplications to determine the final result.
  • Total multiplications: 4500.

X (Y Z)

  • tex2html_wrap_inline133 multiplications to determine the product (Y Z), atex2html_wrap_inline139 array.
  • Then tex2html_wrap_inline141 multiplications to determine the final result.
  • Total multiplications: 8750.

Clearly we'll be able to compute (X Y) Z using fewer individual multiplications.

Given the size of each array in a sequence of arrays to be multiplied, you are to determine an optimal computational sequence. Optimality, for this problem, is relative to the number of individual multiplications required.

Input

For each array in the multiple sequences of arrays to be multiplied you will be given only the dimensions of the array. Each sequence will consist of an integerN which indicates the number of arrays to be multiplied, and then N pairs of integers, each pair giving the number of rows and columns in an array; the order in which the dimensions are given is the same as the order in which the arrays are to be multiplied. A value of zero for N indicates the end of the input.N will be no larger than 10.

Output

Assume the arrays are named tex2html_wrap_inline157 . Your output for each input case is to be a line containing a parenthesized expression clearly indicating the order in which the arrays are to be multiplied. Prefix the output for each case with the case number (they are sequentially numbered, starting with 1). Your output should strongly resemble that shown in the samples shown below. If, by chance, there are multiple correct sequences, any of these will be accepted as a valid answer.

Sample Input

31 55 2020 135 1010 2020 35630 3535 1515 55 1010 2020 250

Sample Output

Case 1: (A1 x (A2 x A3))Case 2: ((A1 x A2) x A3)Case 3: ((A1 x (A2 x A3)) x ((A4 x A5) x A6))
#include <iostream>#include <cstdio>#include <cstring>#include <sstream>using namespace std;const int maxn = 20;struct DP{long long int l , r ,sum;string ans;DP(long long int a = 0 ,long long int b = 0 ,long long int Sum = 0 ,string s = ""){l = a , r = b ,sum = Sum ,ans = s;}}dp[maxn][maxn];int N;void initial(){for(int i = 0;i < maxn;i++){for(int j = 0;j < maxn;j++){dp[i][j].l = 0;dp[i][j].r = 0;dp[i][j].sum = 0;dp[i][j].ans.clear();}}}void readcase(){long long int r , c;for(int i = 0;i < N;i++){stringstream ss;ss << "A" << i+1;string s;ss >> s;cin >> r >> c;dp[i][0] = DP(r , c ,0 , s);}}void computing(){for(int k = 1;k < N;k++){for(int i = 0;i+k < N;i++){int temp = 0;long long int minn = (long long)(1e17);for(int j = 0;j < k;j++){if(dp[i][j].l*dp[i][j].r*dp[i+j+1][k-j-1].r+dp[i][j].sum+dp[i+j+1][k-j-1].sum < minn){minn = dp[i][j].l*dp[i][j].r*dp[i+j+1][k-j-1].r+dp[i][j].sum+dp[i+j+1][k-j-1].sum;temp = j;}}dp[i][k].l = dp[i][temp].l;dp[i][k].r = dp[i+temp+1][k-temp-1].r;dp[i][k].sum = minn;dp[i][k].ans = "("+dp[i][temp].ans+" x "+dp[i+temp+1][k-temp-1].ans+")";//cout << i << " " << k << ":" << dp[i][i+k].sum << " " << dp[i][i+k].ans << endl;}}//cout << dp[0][N-1].sum << "+";cout << dp[0][N-1].ans << endl;}int main(){int t = 1;while(cin >> N && N){initial();readcase();printf("Case %d: ",t);computing();t++;}return 0;}


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