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Binary search algorithm
In computer science, binary search, also known as half-interval search, logarithmic search, or binary chop, is a search algorithm that finds the position
Search algorithm
In computer science, a search algorithm is any algorithm which solves the search problem, namely, to retrieve information stored within some data structure
A* search algorithm
In computer science, A* (pronounced "A star") is a computer algorithm that is widely used in pathfinding and graph traversal, which is the process of
Binary search tree
In computer science, binary search trees (BST), sometimes called ordered or sorted binary trees, are a particular type of container: data structures that
Treap
binary search tree are two closely related forms of binary search tree data structures that maintain a dynamic set of ordered keys and allow binary searches
Self-balancing binary search tree
computer science, a self-balancing (or height-balanced) binary search tree is any node-based binary search tree that automatically keeps its height (maximal
Linear search
element vary. Linear search is rarely practical because other search algorithms and schemes, such as the binary search algorithm and hash tables, allow
Dijkstra's algorithm
the priority queue Q changes. With a self-balancing binary search tree or binary heap, the algorithm requires Θ ( ( | E | + | V | ) log ⁡ | V | ) {\displaystyle
Optimal binary search tree
binary search tree (Optimal BST), sometimes called a weight-balanced binary tree, is a binary search tree which provides the smallest possible search
Binary logarithm
they count the number of steps needed for binary search and related algorithms. Other areas in which the binary logarithm is frequently used include combinatorics