Knapsack Problem Section 7.6. Problem Suppose we have n items U={u 1,..u n }, that we would like to insert into a knapsack of size C. Each item u i has.

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Presentation transcript:

Knapsack Problem Section 7.6

Problem Suppose we have n items U={u 1,..u n }, that we would like to insert into a knapsack of size C. Each item u i has a size s i and a value v i. A choose a subset of items S  U such that

Dynamic Programming Solution For 1  j  C & 1  I  n, let V[i,j] be the optimal value obtained by filling a knapsack of size j with items taken from {u 1,..u i }. Also V[i,0]=0 and V[0,j]=0. Our Goal is to find V[n,C]

Recursive Formula

Algorithm: Knapsack Input: Knapsack of size C, items U={u 1,..u n }, with sizes s 1,.., s n, and values v 1,.., v n Output: For i  0 to n V[i,0]  0 end for For j  0 to C V[0,j]  0 end for for i  1 to n for j  1 to C V[i,j] = V[i-1,j] if s i  j then V[i,j] =max{V[i,j], V[i-1,j- s i ] + v i } end for Return V[n,C]

Performance Analysis Time =  (nC) Space =  (nC) But can be modified to use only  (C) space by storing two rows only.

How does it work? s s C n n v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 Copy the above red line here = max{ + v2, }

How does it work? s s C n n v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 Copy the above red line here = max{ + v2, }

How does it work? s s C n n v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 Copy the above red line here = max{ + v2, }

How does it work? s s C n n v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 Copy the above red line here = max{ + v2, }

How does it work? s s C n n v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 v1 Copy the above red line here = max{ + v2, }