Brute-force search, also called exhaustive search or generate and test, is a very general problem-solving technique and algorithmic paradigm that consists of systematically checking all possible candidates for whether or not each candidate satisfies the problem statement. A brute-force algorithm that finds the divisors of a natural number n would enumerate all integers from 1 to n and check whether each of them divides n without remainder, and a brute-force approach to the eight queens puzzle would examine all possible arrangements of eight pieces on the 64-square chessboard and check for each whether any queen can attack another. It is simple to implement and will always find a solution if one exists, while the implementation cost is proportional to the number of candidate solutions. Algorithms recorded in this atlas are grouped here when their design technique is brute force.
Facts
Core PrincipleSolve a problem inefficiently by trying every one of a wide range of possible solutions. 1 Connections
In Field
Technique Used By
Source Wikipedia: Factorization of polynomials
Sources
1. NIST DADS: brute force
DefinitionQuote, Definition
An algorithm that inefficiently solves a problem, often by trying every one of a wide range of possible solutions.
View the Source Wikipedia: Brute-force search
Wikipedia, lead section
brute-force search or exhaustive search, also known as generate and test, is a very general problem-solving technique and algorithmic paradigm
In Group: Algorithm Design Strategies, Lead
In computer science, brute-force search or exhaustive search, also known as generate and test, is a very general problem-solving technique and algorithmic paradigm that consists of systematically checking all possible candidates for whether or not each candidate satisfies the problem's statement.
View the SourceWikipedia: Factorization of polynomials
Technique Used By: Factorization of Polynomials, Article bodyQuote, Technique Used By: Factorization of Polynomials, Article body
So, an exhaustive search allows finding all factors of degree at most d.
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