Overview of all keyword tags in articles

Inspecting content image: copyright, used under license from shutterstock.com

This page provides an overview of 2 tags, ordered by trending factor. Column headings allow re-sorting by other criteria. In the expanding tab below you can adjust filters to display sub-sets of tags and narrow the focus to specific items of interest (see FAQs on filtering for usage tips). Select this link to remove all filters.

Term Brief description Charts


In mathematics and computer science, an algorithm is an effective method expressed as a finite list of well-defined instructions for calculating a function. Algorithms are used for calculation, data processing, and automated reasoning. In simple words an algorithm is a step-by-step procedure for calculations. Starting from an initial state and initial input (perhaps empty), the instructions describe a computation that, when executed, will proceed through a finite number of well-defined successive states, eventually producing "output" and terminating at a final ending state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as randomized algorithms, incorporate random input. (Excerpt from <a href="http://en.wikipedia.org/wiki/Algorithm">Wikipedia article: Algotithm</a>)

Percentage of Ariadne articles tagged with this term: [term_node_prcnt_1]%.

genetic algorithm

A genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. (Excerpt from <a href="http://en.wikipedia.org/wiki/Genetic_algorithm">Wikipedia article: Genetic algorithm</a>)

Percentage of Ariadne articles tagged with this term: [term_node_prcnt_1]%.