Complexity measure information

Complexity measure / measure of complexity may refer to any measure defined in various branches of complexity theory, specifically: in Computational complexity...

Cyclomatic complexity is a software metric used to indicate the complexity of a program. It is a quantitative measure of the number of linearly independent...

system and has been used as a measure of complexity in many diverse fields. In information processing, complexity is a measure of the total number of properties...

their computational complexity, i.e., the amount of resources needed to solve them, such as time and storage. Other measures of complexity are also used, such...

Halstead complexity measures are software metrics introduced by Maurice Howard Halstead in 1977 as part of his treatise on establishing an empirical science...

as output. It is a measure of the computational resources needed to specify the object, and is also known as algorithmic complexity, Solomonoff–Kolmogorov–Chaitin...

Combinatorial game theory measures game complexity in several ways: State-space complexity (the number of legal game positions from the initial position)...

systems, a central complexity measure is the number of synchronous communication rounds required to complete the task. This complexity measure is closely related...

for instance in CMOS, a common technology-independent metric for complexity measure is gate equivalents (GE). Integrated Circuits Circuit Design Semiconductor...

(machine learning and theory of computation), Rademacher complexity, named after Hans Rademacher, measures richness of a class of sets with respect to a probability...

The Economic Complexity Index (ECI) is a holistic measure of the productive capabilities of large economic systems, usually cities, regions, or countries...

computational complexity theory the Blum axioms or Blum complexity axioms are axioms that specify desirable properties of complexity measures on the set...

equivalent (GE) stands for a unit of measure which allows specifying manufacturing-technology-independent complexity of digital electronic circuits. For...

applied in computer science within the field of software metrics as a complexity measure. In October 2017, according to The New York Times[circular reference]...

In computational complexity theory, a complexity class is a set of computational problems "of related resource-based complexity". The two most commonly...

In computational complexity the decision tree model is the model of computation in which an algorithm is considered to be basically a decision tree, i...

Effective complexity is a measure of complexity defined in a 1996 paper by Murray Gell-Mann and Seth Lloyd that attempts to measure the amount of non-random...

generate it. Solomonoff–Kolmogorov–Chaitin complexity, the most widely used such measure. In computational complexity theory, although it would be a non-formal...

to measure the state of software, eventually concluding that the only practical solution is to use deterministic complexity models. The complexity of...

algorithmic complexity, algorithmic randomness, and algorithmic probability. Algorithmic information theory principally studies complexity measures on strings...

is the number of entry comparisons. This is generally a good measure of the time complexity if data are suitably organized. It is impossible to count the...

Harvard economist Ricardo Hausmann introduced a spectral method to measure the complexity of a country's economy by inferring it from the structure of the...

Essential complexity is a numerical measure defined by Thomas J. McCabe, Sr., in his highly cited, 1976 paper better known for introducing cyclomatic...

The Nelson complexity index (NCI) is a measure to compare the secondary conversion capacity of a petroleum refinery with the primary distillation capacity...

ensure the models accurately predict the data), but also special complexity measures, thus ensuring that the resulting models reveal the data's underlying...

In theoretical computer science, circuit complexity is a branch of computational complexity theory in which Boolean functions are classified according...

The speed prior is a complexity measure similar to Kolmogorov complexity, except that it is based on computation speed as well as program length. The...