2-satisfiability and Time complexity

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

Difference between 2-satisfiability and Time complexity

2-satisfiability vs. Time complexity

In computer science, 2-satisfiability, 2-SAT or just 2SAT is a computational problem of assigning values to variables, each of which has two possible values, in order to satisfy a system of constraints on pairs of variables. In computer science, the time complexity is the computational complexity that describes the amount of time it takes to run an algorithm.

Approximation algorithm

In computer science and operations research, approximation algorithms are efficient algorithms that find approximate solutions to NP-hard optimization problems with provable guarantees on the distance of the returned solution to the optimal one.

2-satisfiability and Approximation algorithm · Approximation algorithm and Time complexity · See more »

Boolean satisfiability problem

In computer science, the Boolean satisfiability problem (sometimes called propositional satisfiability problem and abbreviated as SATISFIABILITY or SAT) is the problem of determining if there exists an interpretation that satisfies a given Boolean formula.

2-satisfiability and Boolean satisfiability problem · Boolean satisfiability problem and Time complexity · See more »

Complexity class

In computational complexity theory, a complexity class is a set of problems of related resource-based complexity.

2-satisfiability and Complexity class · Complexity class and Time complexity · See more »

Computational complexity theory

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.

2-satisfiability and Computational complexity theory · Computational complexity theory and Time complexity · See more »

Computer science

Computer science deals with the theoretical foundations of information and computation, together with practical techniques for the implementation and application of these foundations.

2-satisfiability and Computer science · Computer science and Time complexity · See more »

Conjunctive normal form

In Boolean logic, a formula is in conjunctive normal form (CNF) or clausal normal form if it is a conjunction of one or more clauses, where a clause is a disjunction of literals; otherwise put, it is an AND of ORs.

2-satisfiability and Conjunctive normal form · Conjunctive normal form and Time complexity · See more »

Dynamic programming

Dynamic programming is both a mathematical optimization method and a computer programming method.

2-satisfiability and Dynamic programming · Dynamic programming and Time complexity · See more »

Exponential time hypothesis

In computational complexity theory, the exponential time hypothesis is an unproven computational hardness assumption that was formulated by.

2-satisfiability and Exponential time hypothesis · Exponential time hypothesis and Time complexity · See more »

Graph (discrete mathematics)

In mathematics, and more specifically in graph theory, a graph is a structure amounting to a set of objects in which some pairs of the objects are in some sense "related".

2-satisfiability and Graph (discrete mathematics) · Graph (discrete mathematics) and Time complexity · See more »

Journal of Computer and System Sciences

The Journal of Computer and System Sciences (JCSS) is a peer-reviewed scientific journal in the field of computer science.

2-satisfiability and Journal of Computer and System Sciences · Journal of Computer and System Sciences and Time complexity · See more »

Logarithm

In mathematics, the logarithm is the inverse function to exponentiation.

2-satisfiability and Logarithm · Logarithm and Time complexity · See more »

NP (complexity)

In computational complexity theory, NP (for nondeterministic polynomial time) is a complexity class used to describe certain types of decision problems.

2-satisfiability and NP (complexity) · NP (complexity) and Time complexity · 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.

2-satisfiability and NP-completeness · NP-completeness and Time complexity · 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".

2-satisfiability and NP-hardness · NP-hardness and Time complexity · See more »

P versus NP problem

The P versus NP problem is a major unsolved problem in computer science.

2-satisfiability and P versus NP problem · P versus NP problem and Time complexity · See more »

Parameterized complexity

In computer science, parameterized complexity is a branch of computational complexity theory that focuses on classifying computational problems according to their inherent difficulty with respect to multiple parameters of the input or output.

2-satisfiability and Parameterized complexity · Parameterized complexity and Time complexity · See more »

RP (complexity)

In computational complexity theory, randomized polynomial time (RP) is the complexity class of problems for which a probabilistic Turing machine exists with these properties.

2-satisfiability and RP (complexity) · RP (complexity) and Time complexity · See more »

Time complexity

In computer science, the time complexity is the computational complexity that describes the amount of time it takes to run an algorithm.

2-satisfiability and Time complexity · Time complexity and Time complexity · See more »