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Title: stable merge the arrays Post by inexorable on Jul 26th, 2010, 3:33pm You are given 2 sorted arrays of size ‘n’ each. You need to stable-merge these arrays such that in the new array sum of product of consecutive elements is maximized. eg A= { 1, 2, 3} B= { 3, 7, 9} Stable merging A and B will give an array C with ’2n’ elements say C={c1, c2, c3, c4, c5, c6} You need to find a new array C by merging (stable) A and B such that sum= c1*c2 + c3*c4 + c5* c6….. n terms is maximum. For the above C={3,7,1,9,2,3} |
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Title: Re: stable merge the arrays Post by towr on Jul 26th, 2010, 11:41pm C={1,2,3,3,7,9} has a greater sum, namely 74 instead of 36 In fact, I don't think the criterion of getting the greatest sum c1*c2 + c3*c4 + ... is different from simply sorting on order. |
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Title: Re: stable merge the arrays Post by birbal on Jul 27th, 2010, 3:10am We can try dynamically merging these arrays and maximizing the sum. Something like this : A = { 1 ..... n } B = { 1 .....m } Sum( A(i,n) , B(j,m) ) = maximum sum that can be obtained by merging i to n elements of A and j to m elements of B. Base case would be Sum ( A(n,n) , B(m,m) ) = A[n]*B[m] ; But i don't think after doing this, we will get output as different from a sorted array :P |
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Title: Re: stable merge the arrays Post by Grimbal on Jul 27th, 2010, 9:10am on 07/26/10 at 23:41:40, towr wrote:
And dare to say I think it is the same. If you relax the rules so that you can order freely the elements of A and B into C, the solution to order the ci is optimal. If the sum contains 2 products a*b and c*d where a,b,c,d are not ordered, you can rearrange them to have a<=b, c<=d and a<=c without changing the sum. If after that you have b>c you can switch b and c, the sum will not decrease. If b>c, (ac+bd) - (ab+cd) = (d-a)(b-c). (a-d) >=0, (b-c) <0, so the expression is <=0. That means (ac+bd) >= (ab+cd). Using this, you can reorder all of C without ever reducing the sum of products. |
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Title: Re: stable merge the arrays Post by inexorable on Jul 27th, 2010, 9:59am If the 2 arrays were not sorted, how to find C? |
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Title: Re: stable merge the arrays Post by towr on Jul 27th, 2010, 10:49am I'd hazard to guess dynamic programming. At each step you take either an element from A or from B, so in a table that can either down or right. It might be complicated by having to take two steps at a time, but I don't think that should make a fundamental difference. |
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Title: Re: stable merge the arrays Post by inexorable on Jul 27th, 2010, 1:39pm The following DP solution would take O(n^2) space and O(n^2) time. can we reduce space further? int sum[100][100]={0};//assuming size of arrays is atmost 99// void sum(int A[], int B[], int c[], int n) { sum[n][n-1]=B[n-1] sum[n-1][n]=A[n-1]; sum[n-1][n-1]=A[n-1]*B[n-1]; for(int j=n-2;j>=0;j--) { sum[n][j]=sum[n][j+1]*B[j]; sum[j][n]=sum[j+1][n]*A[j]; } int i=0,j=0,k; for(i=n-2;i>=0;i--) for(j=n-2;j>=0;j--) { ij=A[i]*B[j]+sum[i+1][j+1]; ijplus=B[j]*B[j+1]+sum[i][j+2]; iplusj=A[i]*A[j+1]+sum[i+2][j]; sum[i][j]=max(ij,ijplus,iplusj); } for(k=0,i=0,j=0;i<n && j<n;) { if(sum[i][j]==(A[i]*B[j]+sum[i+1][j+1])) { c[k++]=A[i++]; c[k++]=B[j++]; continue; } if(sum[i][j]==(B[j]*B[j+1]+sum[i][j+2])) { c[k++]=B[j++]; c[k++]=B[j++]; continue; } if(sum[i][j]==(A[i]*A[j+1]+sum[i+2][j])) { c[k++]=A[i++]; c[k++]=A[i++]; continue; } } while(i<n)c[k++]=A[i++]; while(j<n)c[k++]=B[j++]; } |
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Title: Re: stable merge the arrays Post by newb on Jul 30th, 2010, 1:52pm anyone,Please explain the DP solution to this problem. |
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