$fractional knapsack$

$fractional knapsack$

Fractional knapsack problem can be solved in time O(n).Ĭlarification: It is possible to solve the problem in O(n) time by adapting the algorithm for finding weighted medians.ħ. So the time complexity will be O(n log n) if we use quick sort for sorting.Ħ. Time complexity of fractional knapsack problem is _Ĭlarification: As the main time taking a step is of sorting so it defines the time complexity of our code. Which of the following statement about 0/1 knapsack and fractional knapsack problem is correct?Ī) In 0/1 knapsack problem items are divisible and in fractional knapsack items are indivisibleĬ) 0/1 knapsack is solved using a greedy algorithm and fractional knapsack is solved using dynamic programmingĭ) In 0/1 knapsack problem items are indivisible and in fractional knapsack items are divisibleĬlarification: In fractional knapsack problem we can partially include an item into the knapsack whereas in 0/1 knapsack we have to either include or exclude the item wholly.ĥ.

$fractional knapsack$

What is the objective of the knapsack problem?Ī) To get maximum total value in the knapsackī) To get minimum total value in the knapsackĬlarification: The objective is to fill the knapsack of some given volume with different materials such that the value of selected items is maximized.Ĥ. At the end, we add the next item as much as we can.ģ. We first sort items according to their value/weight ratio and then add item with highest ratio until we cannot add the next item as a whole.

$fractional knapsack$

Fractional knapsack problem is solved most efficiently by which of the following algorithm?Ĭlarification: Greedy algorithm is used to solve this problem. Fractional knapsack is solved using dynamic programming.Ģ. Fractional knapsack problem is also known as _Ĭlarification: Fractional knapsack problem is also called continuous knapsack problem. Data Structures & Algorithms Multiple Choice Questions on “Fractional Knapsack Problem”.ġ.

$fractional knapsack$