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 ·
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 ·
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 ·
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 ·
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 ·
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 ·
The list above answers the following questions
- What Computational complexity theory and Promise problem have in common
- What are the similarities between Computational complexity theory and Promise problem
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
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