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Computational complexity theory and Promise problem

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

Difference between Computational complexity theory and Promise problem

Computational complexity theory vs. Promise 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. In computational complexity theory, a promise problem is a generalization of a decision problem where the input is promised to belong to a particular subset of all possible inputs.

Similarities between Computational complexity theory and Promise problem

Computational complexity theory and Promise problem have 6 things in common (in Unionpedia): Computational problem, Counting problem (complexity), Decision problem, Function problem, NP-hardness, Optimization problem.

Computational problem

In theoretical computer science, a computational problem is a mathematical object representing a collection of questions that computers might be able to solve.

Computational complexity theory and Computational problem · Computational problem and Promise problem · See more »

Counting problem (complexity)

In computational complexity theory and computability theory, a counting problem is a type of computational problem.

Computational complexity theory and Counting problem (complexity) · Counting problem (complexity) and Promise 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 Promise problem · See more »

Function problem

In computational complexity theory, a function problem is a computational problem where a single output (of a total function) is expected for every input, but the output is more complex than that of a decision problem.

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

Optimization problem

In mathematics and computer science, an optimization problem is the problem of finding the best solution from all feasible solutions.

Computational complexity theory and Optimization problem · Optimization problem and Promise problem · See more »

The list above answers the following questions

Computational complexity theory and Promise problem Comparison

Computational complexity theory has 164 relations, while Promise problem has 16. As they have in common 6, the Jaccard index is 3.33% = 6 / (164 + 16).

References

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

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