Question: 1 . Greedy Approximation Algorithm - Trace The greedy approach selects sets iteratively that cover the most uncovered elements at each step. Step 1 :
Greedy Approximation Algorithm Trace
The greedy approach selects sets iteratively that cover the most uncovered elements at each step.
Step : Start with all elements uncovered:
Choose the set with the most uncovered elements:
AA A covers elements
BB B covers elements
CC C covers elements
DD D covers elements
EE E covers elements
Select BBB as it covers the most elements elements:
Covered elements:
Remaining elements:
Step : Choose the next set with the most uncovered elements:
AA A adds new element
CC C adds new element
DD D adds new element
EE E adds new elements
Select EEE as it adds the most new elements elements:
Covered elements:
Remaining elements:
Step : Choose the next set:
AA A adds new element
CC C adds new element
DD D adds new elements
Select AAA as it adds new element
Covered elements:
Remaining elements:
Step : Choose the next set:
CC C adds new element
Select CCC as it adds the remaining uncovered element
Covered elements:
All elements are now covered.
Greedy Solution
The sets chosen are:
BEACB E A CBEAC
Optimal Solution
To minimize the number of sets, let's analyze:
BB B covers
EE E covers
CC C covers
Combining BCEB C EBCE covers all elements:
Thus, the optimal solution is:
BCEB C EBCE
Final Answer:
Greedy Solution: BEACB E A CBEAC
Optimal Solution: BCEB C EBCE
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