Algorithm
Sequence of instructions to perform a task
Object
In mathematics and computer science, an algorithm ( ) is a finite sequence of mathematically rigorous logical instructions, typically used to solve a class of specific problems or to perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can use conditionals to divert the code execution through various routes (referred to as automated decision-making) and deduce valid inferences (referred to as automated reasoning). In contrast, a heuristic is an approach to solving problems without well-defined correct or optimal results. For example, although social media recommender systems are commonly called "algorithms", they actually rely on heuristics as there is no truly "correct" recommendation. As an effective method, an algorithm can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function. Starting from an initial state and input, a computation occurs at each step, eventually producing output and terminating. The transition between states can be non-deterministic; randomized algorithms incorporate random input.
CardsCulture
Algorithm
Sequence of instructions to perform a task
In mathematics and computer science, an algorithm ( ) is a finite sequence of mathematically rigorous logical instructions, typically used to solve a class of specific problems or to perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can use conditionals to divert the code execution through various routes (referred to as automated decision-making) and deduce valid inferences (referred to as automated reasoning). In contrast, a heuristic is an approach to solving problems without well-defined correct or optimal results. For example, although social media recommender systems are commonly called "algorithms", they actually rely on heuristics as there is no truly "correct" recommendation. As an effective method, an algorithm can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function. Starting from an initial state and input, a computation occurs at each step, eventually producing output and terminating. The transition between states can be non-deterministic; randomized algorithms incorporate random input.
Read the article on Wikipedia ↗How these stats are calculated
Every value is derived from a measurement of the article, with no manual input. The measurements below were taken on September 6, 2026.
Object — Equips onto a being and lends it its values.
Power
Article length
94 / 120
Reliability
Reference density and count
46 / 120
Durability
Age and revision count
366 / 400
Handling
Recent edit activity and view trend
17 / 30
Renown
Language editions and incoming links
90 / 100
Article size
65 kB
Sources cited
73
Sections
29
Revisions
5,325
Revisions in 90 days
23
Incoming links
5,885
Language editions
144
Views over 12 months
413,540
Created on
October 30, 2001
Wikidata statements
174
Legendary — 99.8th percentile of notability
Rarity ranks cards by how famous their subject is: readership, number of languages and incoming links. This tier appears in 1.90% of cards pulled from packs. It says nothing about the card’s power, which is 700 out of 1000 here.
Effect
This card does not fight on its own: it carries a single effect, chosen by its dominant measure.
Culture — type matchups
Strong against
Weak against
The source article
This card maps to the Wikidata item Q8366, present in 144 Wikipedia editions.
Illustration : file on Wikimedia Commons — Arthur Baelde — licence CC BY-SA 4.0. Article text licensed under CC BY-SA 4.0.
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