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In addition to the heap property, leftist trees are maintained so the right descendant of each node has the lower s-value. The height-biased leftist tree was invented by Clark Allan Crane. [2] The name comes from the fact that the left subtree is usually taller than the right subtree. A leftist tree is a mergeable heap. When inserting a new ...
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Careya arborea is a species of tree in the Lecythidaceae family, native to the Indian subcontinent, Afghanistan, and Indochina. [3] Its common English names include wild guava, Ceylon oak, patana oak. [4] Careya arborea is a deciduous tree that grows up to 15 metres (49 ft) high. Its leaves turn red in the cold season.
A skew heap (or self-adjusting heap) is a heap data structure implemented as a binary tree. Skew heaps are advantageous because of their ability to merge more quickly than binary heaps. In contrast with binary heaps, there are no structural constraints, so there is no guarantee that the height of the tree is logarithmic. Only two conditions ...
According to M.J.E. Coode, Elaeocarpus angustifolius is a tree that typically grows to a height of 40 m (130 ft) and usually has buttress roots at the base of the trunk. . The leaves are about 60–180 mm (2.4–7.1 in) long, 40–60 mm (1.6–2.4 in) wide with wavy serrations on the edges and tapering to a petiole 5–15 mm (0.20–0.59 in) long, but lacking a pulvin
The trees are tall with a cylindrical bole and spreading crown. C. velutina leaves are abruptly pinnate or bipinnate with leaflets that alternate or are subopposite, entire and unequal at the base. The erect, oblong flowers, which are rather large and born in terminal panicles, possess four to five petals. Mature fruits are a septifragally ...
Leftist tree; Pairing heap; Skew heap; A more complete list with performance comparisons can be found at Heap (data structure) § Comparison of theoretic bounds for variants. In most mergeable heap structures, merging is the fundamental operation on which others are based.
A left-leaning red–black (LLRB) tree is a type of self-balancing binary search tree, introduced by Robert Sedgewick. It is a variant of the red–black tree and guarantees the same asymptotic complexity for operations, but is designed to be easier to implement.