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  2. Matroid parity problem - Wikipedia

    en.wikipedia.org/wiki/Matroid_parity_problem

    Additional methods extend this algorithm to the case that the optimal solution to the matroid parity problem has fewer than / pairs. [ 1 ] For graphic matroids, more efficient matroid parity algorithms are known, based on range searching data structures, with running time O ( m n log 6 ⁡ n ) {\displaystyle O(mn\log ^{6}n)} on graphs with m ...

  3. List of terms relating to algorithms and data structures

    en.wikipedia.org/wiki/List_of_terms_relating_to...

    The NIST Dictionary of Algorithms and Data Structures [1] is a reference work maintained by the U.S. National Institute of Standards and Technology. It defines a large number of terms relating to algorithms and data structures. For algorithms and data structures not necessarily mentioned here, see list of algorithms and list of data structures.

  4. Doubly connected edge list - Wikipedia

    en.wikipedia.org/wiki/Doubly_connected_edge_list

    The doubly connected edge list (DCEL), also known as half-edge data structure, is a data structure to represent an embedding of a planar graph in the plane, and polytopes in 3D. This data structure provides efficient manipulation of the topological information associated with the objects in question (vertices, edges, faces).

  5. Graph partition - Wikipedia

    en.wikipedia.org/wiki/Graph_partition

    Consider a graph G = (V, E), where V denotes the set of n vertices and E the set of edges. For a (k,v) balanced partition problem, the objective is to partition G into k components of at most size v · (n/k), while minimizing the capacity of the edges between separate components. [1]

  6. List of algorithms - Wikipedia

    en.wikipedia.org/wiki/List_of_algorithms

    An algorithm is fundamentally a set of rules or defined procedures that is typically designed and used to solve a specific problem or a broad set of problems.. Broadly, algorithms define process(es), sets of rules, or methodologies that are to be followed in calculations, data processing, data mining, pattern recognition, automated reasoning or other problem-solving operations.

  7. Dancing Links - Wikipedia

    en.wikipedia.org/wiki/Dancing_Links

    The Dancing Links algorithm solving a polycube puzzle In computer science , dancing links ( DLX ) is a technique for adding and deleting a node from a circular doubly linked list . It is particularly useful for efficiently implementing backtracking algorithms, such as Knuth's Algorithm X for the exact cover problem . [ 1 ]

  8. Polygon triangulation - Wikipedia

    en.wikipedia.org/wiki/Polygon_triangulation

    Several improved methods with complexity O(n log * n) (in practice, indistinguishable from linear time) followed. [9] [10] [11] Bernard Chazelle showed in 1991 that any simple polygon can be triangulated in linear time, though the proposed algorithm is very complex. [12] A simpler randomized algorithm with linear expected time is also known. [13]

  9. Superflip - Wikipedia

    en.wikipedia.org/wiki/Superflip

    The superflip is a completely symmetrical combination, which means applying a superflip algorithm to the cube will always yield the same position, irrespective of the orientation in which the cube is held. The superflip is self-inverse; i.e. performing a superflip algorithm twice will bring the cube back to the starting position.