A Heap is a complete binary tree data structure that satisfies the heap property: in a min-heap, the value of each child is greater than or equal to its parent, and in a max-heap, the value of each child is less than or equal to its parent.

The heap is one maximally efficient implementation of an abstract data type called a priority queue, and in fact, priority queues are often referred to as "heaps", regardless of how they may be implemented. In a heap, the highest (or lowest) priority element is always stored at the root.

A Heap is a specialized tree-based data structure that satisfies two key properties: It is a complete binary tree, meaning all levels are completely filled except possibly the last, which is filled from left to right.

Heap özel bir ağaç veri yapısıdır. Yığın, kök (ana) adı verilen en üstteki düğümden oluşur. İkinci çocuğu kökün sol çocuğu, üçüncü düğüm ise kökün sağ çocuğudur.

The downward-moving node is swapped with the larger of its children in a max-heap (in a min-heap it would be swapped with its smaller child), until it satisfies the heap property in its new position.

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We shall use the same example to demonstrate how a Max Heap is created. The procedure to create Min Heap is similar but we go for min values instead of max values.

Merhaba arkadaşlar, Veri yapıları serisin bu videosunda HEAP anlattım. Anlaşılır ve animasyonlu anlatımla birlikte kodlamayı da içermekte.

Max-heap/min-heap kipleri, ekleme, kök çıkarma, heap oluşturma, heap sort ve eşzamanlı dizi/ağaç görünümüyle etkileşimli ikili heap simülatörü.

Düzensiz biçimde bir araya gelmiş nesneleri anlatan sözcüktür; bolluk ve karmaşa çağrışımı yapar. Eski İngilizce heap kökeni, toplama ve biriktirme eyleminin adlaşmış hâlidir.