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  2. Min-max heap - Wikipedia

    en.wikipedia.org/wiki/Min-max_heap

    A min-max heap is a complete binary tree containing alternating min (or even) and max (or odd) levels. Even levels are for example 0, 2, 4, etc, and odd levels are respectively 1, 3, 5, etc. We assume in the next points that the root element is at the first level, i.e., 0. Example of Min-max heap

  3. Heap (data structure) - Wikipedia

    en.wikipedia.org/wiki/Heap_(data_structure)

    extract-max (or extract-min): returns the node of maximum value from a max heap [or minimum value from a min heap] after removing it from the heap (a.k.a., pop [5]) delete-max (or delete-min): removing the root node of a max heap (or min heap), respectively; replace: pop root and push a new key. This is more efficient than a pop followed by a ...

  4. x86 memory models - Wikipedia

    en.wikipedia.org/wiki/X86_memory_models

    Pointer formats are known as near, far, or huge.. Near pointers are 16-bit offsets within the reference segment, i.e. DS for data and CS for code. They are the fastest pointers, but are limited to point to 64 KB of memory (to the associated segment of the data type).

  5. Binary heap - Wikipedia

    en.wikipedia.org/wiki/Binary_heap

    The Build-Max-Heap function that follows, converts an array A which stores a complete binary tree with n nodes to a max-heap by repeatedly using Max-Heapify ...

  6. Fibonacci heap - Wikipedia

    en.wikipedia.org/wiki/Fibonacci_heap

    The amortized performance of a Fibonacci heap depends on the degree (number of children) of any tree root being (⁡), where is the size of the heap. Here we show that the size of the (sub)tree rooted at any node x {\displaystyle x} of degree d {\displaystyle d} in the heap must have size at least F d + 2 {\displaystyle F_{d+2}} , where F i ...

  7. Heapsort - Wikipedia

    en.wikipedia.org/wiki/Heapsort

    procedure heapsort(a, count) is input: an unordered array a of length count (Build the heap in array a so that largest value is at the root) heapify(a, count) (The following loop maintains the invariants that a[0:end−1] is a heap, and every element a[end:count−1] beyond end is greater than everything before it, i.e. a[end:count−1] is in ...

  8. Data segment - Wikipedia

    en.wikipedia.org/wiki/Data_segment

    This shows the typical layout of a simple computer's program memory with the text, various data, and stack and heap sections. The data segment contains initialized static variables, i.e. global variables and local static variables which have a defined value and can be modified. Examples in C include:

  9. Boehm garbage collector - Wikipedia

    en.wikipedia.org/wiki/Boehm_garbage_collector

    The Boehm–Demers–Weiser garbage collector, often simply known as the Boehm GC or Boehm collector, is a conservative garbage collector for C and C++ [1] developed by Hans Boehm, Alan Demers, and Mark Weiser.