When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. Conflict-driven clause learning - Wikipedia

    en.wikipedia.org/wiki/Conflict-Driven_Clause...

    This examples uses three variables (A, B, C), and there are two possible assignments (True and False) for each of them. So one has = possibilities. In this small example, one can use brute-force search to try all possible assignments and check if they satisfy the formula. But in realistic applications with millions of variables and clauses ...

  3. Proof by exhaustion - Wikipedia

    en.wikipedia.org/wiki/Proof_by_exhaustion

    Proof by exhaustion, also known as proof by cases, proof by case analysis, complete induction or the brute force method, is a method of mathematical proof in which the statement to be proved is split into a finite number of cases or sets of equivalent cases, and where each type of case is checked to see if the proposition in question holds. [1]

  4. Sudoku solving algorithms - Wikipedia

    en.wikipedia.org/wiki/Sudoku_solving_algorithms

    Some hobbyists have developed computer programs that will solve Sudoku puzzles using a backtracking algorithm, which is a type of brute force search. [3] Backtracking is a depth-first search (in contrast to a breadth-first search), because it will completely explore one branch to a possible solution before moving to another branch.

  5. Brute-force search - Wikipedia

    en.wikipedia.org/wiki/Brute-force_search

    Brute force attacks can be made less effective by obfuscating the data to be encoded, something that makes it more difficult for an attacker to recognise when he has cracked the code. One of the measures of the strength of an encryption system is how long it would theoretically take an attacker to mount a successful brute force attack against it.

  6. Clique problem - Wikipedia

    en.wikipedia.org/wiki/Clique_problem

    The brute force algorithm finds a 4-clique in this 7-vertex graph (the complement of the 7-vertex path graph) by systematically checking all C(7,4) = 35 4-vertex subgraphs for completeness. In computer science , the clique problem is the computational problem of finding cliques (subsets of vertices, all adjacent to each other, also called ...

  7. Pollard's kangaroo algorithm - Wikipedia

    en.wikipedia.org/wiki/Pollard's_kangaroo_algorithm

    Pollard gives the time complexity of the algorithm as (), using a probabilistic argument based on the assumption that acts pseudorandomly. Since , can be represented using (⁡) bits, this is exponential in the problem size (though still a significant improvement over the trivial brute-force algorithm that takes time ()).

  8. Boolean satisfiability problem - Wikipedia

    en.wikipedia.org/wiki/Boolean_satisfiability_problem

    Different sets of allowed Boolean functions lead to different problem versions. As an example, R(¬x,a,b) is a generalized clause, and R(¬x,a,b) ∧ R(b,y,c) ∧ R(c,d,¬z) is a generalized conjunctive normal form. This formula is used below, with R being the ternary operator that is TRUE just when exactly one of its arguments is.

  9. Boyer–Moore string-search algorithm - Wikipedia

    en.wikipedia.org/wiki/Boyer–Moore_string-search...

    Instead of a brute-force search of all alignments (of which there are ⁠ + ⁠), Boyer–Moore uses information gained by preprocessing P to skip as many alignments as possible. Previous to the introduction of this algorithm, the usual way to search within text was to examine each character of the text for the first character of the pattern.