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Computational complexity theory and Knapsack problem

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Computational complexity theory and Knapsack problem

Computational complexity theory vs. Knapsack problem

Computational complexity theory is a branch of the theory of computation in theoretical computer science that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other. The knapsack problem or rucksack problem is a problem in combinatorial optimization: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as large as possible.

Similarities between Computational complexity theory and Knapsack problem

Computational complexity theory and Knapsack problem have 5 things in common (in Unionpedia): Big O notation, Combinatorics, Decision problem, NP-completeness, NP-hardness.

Big O notation

Big O notation is a mathematical notation that describes the limiting behaviour of a function when the argument tends towards a particular value or infinity.

Big O notation and Computational complexity theory · Big O notation and Knapsack problem · See more »

Combinatorics

Combinatorics is an area of mathematics primarily concerned with counting, both as a means and an end in obtaining results, and certain properties of finite structures.

Combinatorics and Computational complexity theory · Combinatorics and Knapsack problem · See more »

Decision problem

In computability theory and computational complexity theory, a decision problem is a problem that can be posed as a yes-no question of the input values.

Computational complexity theory and Decision problem · Decision problem and Knapsack problem · See more »

NP-completeness

In computational complexity theory, an NP-complete decision problem is one belonging to both the NP and the NP-hard complexity classes.

Computational complexity theory and NP-completeness · Knapsack problem and NP-completeness · See more »

NP-hardness

NP-hardness (''n''on-deterministic ''p''olynomial-time hardness), in computational complexity theory, is the defining property of a class of problems that are, informally, "at least as hard as the hardest problems in NP".

Computational complexity theory and NP-hardness · Knapsack problem and NP-hardness · See more »

The list above answers the following questions

Computational complexity theory and Knapsack problem Comparison

Computational complexity theory has 164 relations, while Knapsack problem has 49. As they have in common 5, the Jaccard index is 2.35% = 5 / (164 + 49).

References

This article shows the relationship between Computational complexity theory and Knapsack problem. To access each article from which the information was extracted, please visit:

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