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  2. Cycle sort - Wikipedia

    en.wikipedia.org/wiki/Cycle_sort

    When the array contains only duplicates of a relatively small number of items, a constant-time perfect hash function can greatly speed up finding where to put an item 1, turning the sort from Θ(n 2) time to Θ(n + k) time, where k is the total number of hashes. The array ends up sorted in the order of the hashes, so choosing a hash function ...

  3. Binary heap - Wikipedia

    en.wikipedia.org/wiki/Binary_heap

    [6] [7] The heap array is assumed to have its first element at index 1. // Push a new item to a (max) heap and then extract the root of the resulting heap. // heap: an array representing the heap, indexed at 1 // item: an element to insert // Returns the greater of the two between item and the root of heap.

  4. Dynamic array - Wikipedia

    en.wikipedia.org/wiki/Dynamic_array

    Dynamic arrays overcome a limit of static arrays, which have a fixed capacity that needs to be specified at allocation. A dynamic array is not the same thing as a dynamically allocated array or variable-length array, either of which is an array whose size is fixed when the array is allocated, although a dynamic array may use such a fixed-size ...

  5. Keys, glasses, and the other most frequently lost items in ...

    www.aol.com/keys-glasses-other-most-frequently...

    These are the items Americans lose most. Perhaps unsurprisingly, the most commonly lost items were also among the most ubiquitous and important: phones and keys. Most people don't leave home ...

  6. List of algorithms - Wikipedia

    en.wikipedia.org/wiki/List_of_algorithms

    Used in Python 2.3 and up, and Java SE 7. Insertion sorts Insertion sort: determine where the current item belongs in the list of sorted ones, and insert it there; Library sort; Patience sorting; Shell sort: an attempt to improve insertion sort; Tree sort (binary tree sort): build binary tree, then traverse it to create sorted list

  7. Row- and column-major order - Wikipedia

    en.wikipedia.org/wiki/Row-_and_column-major_order

    Row- and column-major order. In computing, row-major order and column-major order are methods for storing multidimensional arrays in linear storage such as random access memory. The difference between the orders lies in which elements of an array are contiguous in memory. In row-major order, the consecutive elements of a row reside next to each ...

  8. List comprehension - Wikipedia

    en.wikipedia.org/wiki/List_comprehension

    Here, the list [0..] represents , x^2>3 represents the predicate, and 2*x represents the output expression.. List comprehensions give results in a defined order (unlike the members of sets); and list comprehensions may generate the members of a list in order, rather than produce the entirety of the list thus allowing, for example, the previous Haskell definition of the members of an infinite list.

  9. Foreach loop - Wikipedia

    en.wikipedia.org/wiki/Foreach_loop

    foreach loops are almost always used to iterate over items in a sequence of elements. In computer programming, foreach loop (or for-each loop) is a control flow statement for traversing items in a collection. foreach is usually used in place of a standard for loop statement.