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  2. Dancing Links - Wikipedia

    en.wikipedia.org/wiki/Dancing_Links

    It is particularly useful for efficiently implementing backtracking algorithms, such as Knuth's Algorithm X for the exact cover problem. [1] Algorithm X is a recursive , nondeterministic , depth-first , backtracking algorithm that finds all solutions to the exact cover problem.

  3. 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.

  4. Backjumping - Wikipedia

    en.wikipedia.org/wiki/Backjumping

    When further backtracking or backjumping from the node, the variable of the node is removed from this set, and the set is sent to the node that is the destination of backtracking or backjumping. This algorithm works because the set maintained in a node collects all variables that are relevant to prove unsatisfiability in the leaves that are ...

  5. Look-ahead (backtracking) - Wikipedia

    en.wikipedia.org/wiki/Look-ahead_(backtracking)

    In backtracking algorithms, look ahead is the generic term for a subprocedure that attempts to foresee the effects of choosing a branching variable to evaluate one of its values. The two main aims of look-ahead are to choose a variable to evaluate next and to choose the order of values to assign to it.

  6. Backtracking - Wikipedia

    en.wikipedia.org/wiki/Backtracking

    An efficient implementation will avoid creating a variable trail entry between two successive changes when there is no choice point, as the backtracking will erase all of the changes as a single operation. An alternative to the variable trail is to keep a timestamp of when the last change was made to the variable. The timestamp is compared to ...

  7. AC-3 algorithm - Wikipedia

    en.wikipedia.org/wiki/AC-3_algorithm

    The earlier AC algorithms are often considered too inefficient, and many of the later ones are difficult to implement, and so AC-3 is the one most often taught and used in very simple constraint solvers. The AC-3 algorithm is not to be confused with the similarly named A3C algorithm in machine learning. [1]

  8. Constraint satisfaction - Wikipedia

    en.wikipedia.org/wiki/Constraint_satisfaction

    Cassowary constraint solver, an open source project for constraint satisfaction (accessible from C, Java, Python and other languages). Comet, a commercial programming language and toolkit; Gecode, an open source portable toolkit written in C++ developed as a production-quality and highly efficient implementation of a complete theoretical ...

  9. DPLL algorithm - Wikipedia

    en.wikipedia.org/wiki/DPLL_algorithm

    The DPLL algorithm enhances over the backtracking algorithm by the eager use of the following rules at each step: Unit propagation If a clause is a unit clause , i.e. it contains only a single unassigned literal, this clause can only be satisfied by assigning the necessary value to make this literal true.