algorithmic paradigm or algorithm design paradigm is a generic model or framework which underlies the design of a class of algorithms. An algorithmic...

supporting one or more paradigms. Paradigms are separated along and described by different dimensions of programming. Some paradigms are about implications...

Minimed Paradigm, an insulin pump made by Minimed/Medtronic Linguistic paradigm, the complete set of inflectional forms of a word. Algorithmic paradigm, a...

In computational geometry, a sweep line algorithm or plane sweep algorithm is an algorithmic paradigm that uses a conceptual sweep line or sweep surface...

generate and test, is a very general problem-solving technique and algorithmic paradigm that consists of systematically checking all possible candidates...

Dynamic programming is both a mathematical optimization method and an algorithmic paradigm. The method was developed by Richard Bellman in the 1950s and has...

decomposition are defined in computer sciences: In structured programming, algorithmic decomposition breaks a process down into well-defined steps. Structured...

In computer science, divide and conquer is an algorithm design paradigm. A divide-and-conquer algorithm recursively breaks down a problem into two or...

can be grouped by the number and types of paradigms supported. A concise reference for the programming paradigms listed in this article. Concurrent programming...

In science and philosophy, a paradigm (/ˈpærədaɪm/ PARR-ə-dyme) is a distinct set of concepts or thought patterns, including theories, research methods...

Control Algorithm aversion Algorithm engineering Algorithm characterizations Algorithmic bias Algorithmic composition Algorithmic entities Algorithmic synthesis...

Algorithmic composition is the technique of using algorithms to create music. Algorithms (or, at the very least, formal sets of rules) have been used to...

probability to be selected. It is one of the four major evolutionary algorithm paradigms. It was first used by Lawrence J. Fogel in the US in 1960 in order...

& Raichel (2013) describe an algorithmic paradigm that they call "net and prune" for designing approximation algorithms for certain types of geometric...

Extremal Ensemble Learning (EEL) is a machine learning algorithmic paradigm for graph partitioning. EEL creates an ensemble of partitions and then uses...

science, an algorithmic technique is a general approach for implementing a process or computation. There are several broadly recognized algorithmic techniques...

ISSN 1558-0814. The discipline of computing is the systematic study of algorithmic processes that describe and transform information, their theory, analysis...

for a repeating or continuous process. algorithmic probability In algorithmic information theory, algorithmic probability, also known as Solomonoff probability...

Electrical and Electronics Engineers (IEEE) in 2016 for contributions to algorithmic paradigms for database technology. Xuemin Lin - Biography, Academia Europaea...

a new tableau based algorithm paradigm allowed efficient reasoning on more expressive DL. DL-based systems using these algorithms — such as KRIS (1991)...

The concept of design paradigms derives from the rather ambiguous idea of paradigm originating in the sociology of science, which carries at least two...

the 1970s and algorithmic management is becoming increasingly widespread across a wide range of industries. The concept of algorithmic management can...

problems and to guide theorem proving. He introduced the anytime algorithm paradigm in AI, where partial results, probabilities, or utilities of outcomes...

biological ants is often the predominant paradigm used. Combinations of artificial ants and local search algorithms have become a preferred method for numerous...

statistical modelling paradigms: data model and algorithmic model, wherein "algorithmic model" means more or less the machine learning algorithms like Random Forest...

subject of discussion until the mid-1980s. "Neats" use algorithms based on a single formal paradigm, such as logic, mathematical optimization, or neural...

In computer science, imperative programming is a programming paradigm of software that uses statements that change a program's state. In much the same...

stream processing, or distributed stream processing) is a programming paradigm which views streams, or sequences of events in time, as the central input...

an algorithm design paradigm for discrete and combinatorial optimization problems, as well as mathematical optimization. A branch-and-bound algorithm consists...

development of Genetic programming, which further extended the classical GA paradigm. Such representations required enhancements to the simplistic genetic operators...