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Question No.1 You have to give the dynamic programming tables (m table forcomput

ID: 3615973 • Letter: Q

Question

Question No.1

You have to give the dynamic programming tables (m table forcomputing best optimal

value and k table having track of matrices) for the belowmatrices, you also need to show

the optimal final matrix multiplication tree using ktable.

A1    .     A2  .    A3    .   A4    .    A5    .    A6

    (2x3)      (3x7)     (7x5)      (5x6)       (6x4)         (4x3)

0/1Knapsack1 Problem:

Knapsack Problem is that,

·    We have to fill a bag that can carrymaximum weight W

·    We have to fill the bag withdifferent items each having a certain weightand

value

·    We want to fill the bag with theseitems such that total value of items present in

bag is maximum and total weight of items doesn’t increasemaximum weight that

bag can carry(W).

Explanation / Answer

Weight Limit (j)

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

w1=4, v1=3

0

0

0

3

3

3

3

3

3

3

3

3

3

3

3

w2=2, v2=7

0

7

7

7

7

10

10

10

10

10

10

10

10

10

10

w3=6, v3=2

0

7

7

7

7

10

10

10

10

10

10

12

12

12

12

w4=8, v4=6

0

7

7

7

7

10

10

10

10

13

13

13

13

16

16

w5=2, v5=4

0

7

7

11

11

11

11

11

11

13

13

17

17

17

17

w6=8, v6=5

0

7

7

11

11

11

11

14

14

14

14

17

17

17

17

w7=3, v7=1

0

7

7

11

11

11

12

14

14

14

15

17

17

17

18

He take item w2(value=7), w8(value=6), w2(value 4), w3(value=1),then he gets total 18. which is maximum value and weight is 15Kg.

Weight Limit (j)

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

w1=4, v1=3

0

0

0

3

3

3

3

3

3

3

3

3

3

3

3

w2=2, v2=7

0

7

7

7

7

10

10

10

10

10

10

10

10

10

10

w3=6, v3=2

0

7

7

7

7

10

10

10

10

10

10

12

12

12

12

w4=8, v4=6

0

7

7

7

7

10

10

10

10

13

13

13

13

16

16

w5=2, v5=4

0

7

7

11

11

11

11

11

11

13

13

17

17

17

17

w6=8, v6=5

0

7

7

11

11

11

11

14

14

14

14

17

17

17

17

w7=3, v7=1

0

7

7

11

11

11

12

14

14

14

15

17

17

17

18

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