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DSA Cprogramming~5 mins

Fractional Knapsack Problem in DSA C - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is the Fractional Knapsack Problem?
It is a problem where you have a knapsack with a weight limit and items with weights and values. You can take fractions of items to maximize the total value without exceeding the weight limit.
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beginner
Why can we take fractions of items in the Fractional Knapsack Problem but not in the 0/1 Knapsack Problem?
Because the problem allows breaking items into smaller parts, so you can take any fraction of an item. In 0/1 Knapsack, items are indivisible and must be taken whole or not at all.
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beginner
What is the main strategy used to solve the Fractional Knapsack Problem?
Use a greedy approach: sort items by value per weight (value/weight) in descending order, then take as much as possible from the highest ratio items until the knapsack is full.
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beginner
How do you calculate the value per weight ratio for an item?
Divide the item's value by its weight: ratio = value / weight. This ratio helps decide which items to pick first.
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intermediate
What is the time complexity of the Fractional Knapsack Problem solution using sorting?
The time complexity is O(n log n) because sorting the items by their value/weight ratio takes O(n log n), and then selecting items is O(n).
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In the Fractional Knapsack Problem, what determines the order in which items are chosen?
AValue of items
BWeight of items
CValue per weight ratio of items
DNumber of items
Can you take a part of an item in the Fractional Knapsack Problem?
AYes, fractions of items are allowed
BNo, items must be taken whole
COnly if the item is light
DOnly if the item has high value
What is the main difference between Fractional Knapsack and 0/1 Knapsack?
ANeither allow fractions
B0/1 Knapsack allows fractions; Fractional does not
CBoth allow fractions
DFractional Knapsack allows breaking items; 0/1 does not
What is the first step in solving the Fractional Knapsack Problem?
APick the heaviest item
BSort items by value per weight ratio
CPick the item with highest value
DPick items randomly
What is the time complexity of the Fractional Knapsack solution?
AO(n log n)
BO(n^2)
CO(n)
DO(log n)
Explain how the greedy approach works in the Fractional Knapsack Problem.
Think about choosing the most valuable parts first.
You got /5 concepts.
    Describe the difference between Fractional Knapsack and 0/1 Knapsack problems.
    Focus on item divisibility and solution methods.
    You got /4 concepts.