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  2. Riffle shuffle permutation - Wikipedia

    en.wikipedia.org/wiki/Riffle_shuffle_permutation

    Since a (,)-shuffle is completely determined by how its first elements are mapped, the number of (,)-shuffles is (+).. However, the number of distinct riffles is not quite the sum of this formula over all choices of and adding to (which would be ), because the identity permutation can be represented in multiple ways as a (,)-shuffle for different values of and .

  3. Gilbert–Shannon–Reeds model - Wikipedia

    en.wikipedia.org/wiki/Gilbert–Shannon–Reeds...

    The model may be defined in several equivalent ways, describing alternative ways of performing this random shuffle: Most similarly to the way humans shuffle cards, the Gilbert–Shannon–Reeds model describes the probabilities obtained from a certain mathematical model of randomly cutting and then riffling a deck of cards.

  4. Sorting algorithm - Wikipedia

    en.wikipedia.org/wiki/Sorting_algorithm

    Shuffling can also be implemented by a sorting algorithm, namely by a random sort: assigning a random number to each element of the list and then sorting based on the random numbers. This is generally not done in practice, however, and there is a well-known simple and efficient algorithm for shuffling: the Fisher–Yates shuffle .

  5. Sudoku solving algorithms - Wikipedia

    en.wikipedia.org/wiki/Sudoku_solving_algorithms

    The solution R is a total relation and hence a function. Sudoku rules require that the restriction of R to X is a bijection, so any partial solution C, restricted to an X, is a partial permutation of N. Let T = { X : X is a row, column, or block of Q}, so T has 27 elements. An arrangement is either a partial permutation or a permutation on N.

  6. Fisher–Yates shuffle - Wikipedia

    en.wikipedia.org/wiki/Fisher–Yates_shuffle

    An additional problem occurs when the Fisher–Yates shuffle is used with a pseudorandom number generator or PRNG: as the sequence of numbers output by such a generator is entirely determined by its internal state at the start of a sequence, a shuffle driven by such a generator cannot possibly produce more distinct permutations than the ...

  7. Spreadsheet - Wikipedia

    en.wikipedia.org/wiki/Spreadsheet

    Use of named column variables x & y in Microsoft Excel. Formula for y=x 2 resembles Fortran, and Name Manager shows the definitions of x & y. In most implementations, a cell, or group of cells in a column or row, can be "named" enabling the user to refer to those cells by a name rather than by a grid reference.

  8. Shuffle algebra - Wikipedia

    en.wikipedia.org/wiki/Shuffle_algebra

    The shuffle product was introduced by Eilenberg & Mac Lane (1953). The name "shuffle product" refers to the fact that the product can be thought of as a sum over all ways of riffle shuffling two words together: this is the riffle shuffle permutation. The product is commutative and associative. [2]

  9. Permutation - Wikipedia

    en.wikipedia.org/wiki/Permutation

    A different rule for multiplying permutations comes from writing the argument to the left of the function, so that the leftmost permutation acts first. [ 30 ] [ 31 ] [ 32 ] In this notation, the permutation is often written as an exponent, so σ acting on x is written x σ ; then the product is defined by x σ ⋅ τ = ( x σ ) τ ...