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  2. Heap (data structure) - Wikipedia

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

    For Haskell there is the Data.Heap module. The Java platform (since version 1.5) provides a binary heap implementation with the class java.util.PriorityQueue in the Java Collections Framework. This class implements by default a min-heap; to implement a max-heap, programmer should write a custom comparator.

  3. Data segment - Wikipedia

    en.wikipedia.org/wiki/Data_segment

    The size of this segment is determined by the size of the values in the program's source code, and does not change at run time. ... The heap segment contains ...

  4. 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 ...

  5. Priority queue - Wikipedia

    en.wikipedia.org/wiki/Priority_queue

    The Boost libraries also have an implementation in the library heap. Python's heapq module implements a binary min-heap on top of a list. Java's library contains a PriorityQueue class, which implements a min-priority-queue as a binary heap. .NET's library contains a PriorityQueue class, which implements an array-backed, quaternary min-heap.

  6. Java performance - Wikipedia

    en.wikipedia.org/wiki/Java_performance

    Java memory use is much higher than C++'s memory use because: There is an overhead of 8 bytes for each object and 12 bytes for each array [61] in Java. If the size of an object is not a multiple of 8 bytes, it is rounded up to next multiple of 8. This means an object holding one byte field occupies 16 bytes and needs a 4-byte reference.

  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. Java virtual machine - Wikipedia

    en.wikipedia.org/wiki/Java_virtual_machine

    The primary advantage of running Java in a 64-bit environment is the larger address space. This allows for a much larger Java heap size and an increased maximum number of Java Threads, which is needed for certain kinds of large applications; however there is a performance hit in using 64-bit JVM compared to 32-bit JVM.

  9. Garbage-first collector - Wikipedia

    en.wikipedia.org/wiki/Garbage-first_collector

    The garbage-first collector (G1) is a garbage collection algorithm introduced in the Oracle HotSpot Java virtual machine (JVM) 6 and supported from 7 Update 4. It was planned to replace concurrent mark sweep collector (CMS) in JVM 7 and was made default in Java 9.