Exemplos de uso de Binary tree em Inglês e suas traduções para o Português
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Quicksort is a space-optimized version of the binary tree sort.
A succinct binary tree therefore would occupy only 2{\displaystyle 2} bits per node.
In this case the decision tree model is a binary tree.
The k-d tree is a binary tree in which every leaf node is a k-dimensional point.
It is clear from the picturethat T forms a(fully) infinite binary tree.
In binary trees, a special case of plane trees, each node can have either two or no children.
Expressions with multiple arguments have source types which are"right-imbalanced" binary trees.
The 64-bit address space is searched as a binary tree, allowing up to 75 devices to be found per second.
A common implementation of a heap is the binary heap,in which the tree is a binary tree see figure.
For example, binary tree sort creates a binary tree by inserting each element of the n-sized array one by one.
For, in this case, the X-minor-free graphs include all forests, andin particular they include the perfect binary trees.
A red-black tree is a special type of binary tree, used in computer science to organize pieces of comparable data.
Amortization was initially used for very specific types of algorithms,particularly those involving binary trees and union operations.
A full binary tree(sometimes referred to as a proper or plane binary tree) is a tree in which every node in the tree has either 0 or 2 children.
Rajeev Alur andParthasarathy Madhusudan related a subclass of regular binary tree languages to nested words and visibly pushdown languages.
But a perfect binary tree with 2k+ 1 levels has pathwidth k, so in this case the X-minor-free-graphs have unbounded pathwidth.
Abstractly, a dichotomic search can be viewed as following edges of an implicit binary tree structure until it reaches a leaf a goal or final state.
When a heap is a complete binary tree, it has a smallest possible height-a heap with N nodes and for each node a branches always has loga N height.
Aiming to solve it, there is an algorithm in the literature,branch& prune(bp), which uses a combinatorial strategy of exploring a binary tree of solutions that is associated to the problem.
In some cases the analysis of random binary trees under the random permutation model can be automatically transferred to the uniform model.
Dimitri P. Bertsekas and John N. Tsitsiklis, Introduction to Probability,(2002)Athena Scientific, Massachusetts ISBN 1-886529-40-X Using a binary tree diagram for describing a Bernoulli process.
Self-balancing binary trees solve this problem by performing transformations on the tree(such as tree rotations) at key insertion times, in order to keep the height proportional to log2n.
Types of random trees include uniform spanning tree, random minimal spanning tree, random binary tree, treap, rapidly exploring random tree, Brownian tree, and random forest.
Here a binary tree is one in which every term of every sequence in the tree is 0 or 1, which is to say the tree is computably bounded via the constant function 2.
Huffman, unable to prove any codes were the most efficient, was about to give up andstart studying for the final when he hit upon the idea of using a frequency-sorted binary tree and quickly proved this method the most efficient.
It is known that the depth of a binary tree with n leaves is at least log n{\displaystyle\log n}, which gives a lower bound of Ω( log n){\displaystyle\Omega(\log n)} for the searching problem.
For any noncomputable subset X of ω{\displaystyle\omega} the tree has a path that does not compute X. A weak form of Kőnig's lemma which states that every infinite binary tree has an infinite branch is used to define the subsystem WKL0 of second-order arithmetic.
Another example is the representation of a binary tree: an arbitrary binary tree on n{\displaystyle n} nodes can be represented in 2 n+ o( n){\displaystyle 2n+o(n)} bits while supporting a variety of operations on any node, which includes finding its parent, its left and right child, and returning the size of its subtree, each in constant time.
If a given set of ordered numbers is assigned numeric priorities(distinct numbers unrelated to their values),these priorities may be used to construct a Cartesian tree for the numbers, a binary tree that has as its inorder traversal sequence the sorted sequence of the numbers and that is heap-ordered by priorities.
Adding and removing nodes directly in a random binary tree will in general disrupt its random structure, but the treap and related randomized binary search tree data structures use the principle of binary trees formed from a random permutation in order to maintain a balanced binary search tree dynamically as nodes are inserted and deleted.