Algorithms Analysis 2025 – 400 Free Practice Questions to Pass the Exam

Question: 1 / 400

What problem does the Knapsack algorithm primarily address?

Sorting items for delivery

Maximizing value within weight capacity

The Knapsack algorithm primarily addresses the problem of maximizing value within a given weight capacity. This problem is often framed as a scenario where a thief must choose items to steal, each item having a specific weight and value, while ensuring that the total weight does not exceed the capacity of the knapsack. The objective is to maximize the total value of the items selected.

The algorithm explores various combinations of items, considering their respective weights and values, and identifies which combination yields the highest value without surpassing the weight limit. This makes it particularly useful in resource allocation problems where you want to optimize for maximum gain under certain constraints.

Understanding this problem is crucial in fields such as operations research, finance, and logistics, where effective decision-making is necessary amidst limited resources.

Get further explanation with Examzify DeepDiveBeta

Finding the shortest path in a graph

Minimizing time complexity

Next Question

Report this question

Download Algorithms Analysis Practice Test PDF Study Guide
Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy