A randomized algorithm is an algorithm that employs a degree of randomness as part of its logic or procedure. The algorithm typically uses uniformly random...

Carlo algorithm is a randomized algorithm whose output may be incorrect with a certain (typically small) probability. Two examples of such algorithms are...

permutation unlikely to occur. The following is a description of the randomized algorithm in pseudocode: while deck is not sorted: shuffle(deck) An implementation...

simple randomized in-place algorithms for primality testing such as the Miller–Rabin primality test, and there are also simple in-place randomized factoring...

In computer science, the treap and the randomized binary search tree are two closely related forms of binary search tree data structures that maintain...

rapidly exploring random tree (RRT) is an algorithm designed to efficiently search nonconvex, high-dimensional spaces by randomly building a space-filling...

In computer science and graph theory, Karger's algorithm is a randomized algorithm to compute a minimum cut of a connected graph. It was invented by David...

big O notation, divide-and-conquer algorithms, data structures such as heaps and binary trees, randomized algorithms, best, worst and average case analysis...

In computing, a Las Vegas algorithm is a randomized algorithm that always gives correct results; that is, it always produces the correct result or it...

initially randomized or if a wall is randomly chosen from a nonrandom list, either way is just as easy to code. Because the effect of this algorithm is to...

decomposition using a randomized algorithm. Given an input matrix A {\textstyle A} and a desired low rank k {\textstyle k} , the randomized LU returns permutation...

method of random decision forests was first proposed by Salzberg and Heath in 1993, with a method that used a randomized decision tree algorithm to create...

next is not necessarily deterministic; some algorithms, known as randomized algorithms, incorporate random input. Around 825 AD, Persian scientist and...

the performance of randomized algorithms to deterministic (non-random) algorithms. It states that, for certain classes of algorithms, and certain measures...

a deterministic algorithm, such as backward induction or retrograde analysis can be used. Randomized algorithms and minmax algorithms such as MCTS can...

element in the shuffled sequence by randomly drawing an element from the list until no elements remain. The algorithm produces an unbiased permutation:...

generator Quantum algorithm Random-restart hill climbing Randomized algorithm Running time Sorting algorithm Search algorithm Stable algorithm (disambiguation)...

randomized ski-rental coin flipping algorithm is 1.8. The best randomized algorithm against an oblivious adversary is to choose some day i at random according...

Depth-first search (DFS) is an algorithm for traversing or searching tree or graph data structures. The algorithm starts at the root node (selecting some...

variable of a set of objects. The use of random permutations is common in games of chance and in randomized algorithms in coding theory, cryptography, and...

Intuitively, an algorithmically random sequence (or random sequence) is a sequence of binary digits that appears random to any algorithm running on a (prefix-free...

introduction of randomness into computations can be an effective tool for designing better algorithms. In some cases, such randomized algorithms even outperform...

Reservoir sampling is a family of randomized algorithms for choosing a simple random sample, without replacement, of k items from a population of unknown...

merge sort and heapsort for randomized data, particularly on larger distributions. Quicksort is a divide-and-conquer algorithm. It works by selecting a "pivot"...

Bentley–Ottmann algorithm may also be reduced. As Clarkson, Cole & Tarjan (1992) show, in this case there is a randomized algorithm for solving the problem...

The basis of the HyperLogLog algorithm is the observation that the cardinality of a multiset of uniformly distributed random numbers can be estimated by...

proposed algorithm is very complex. A simpler randomized algorithm with linear expected time is also known. Seidel's decomposition algorithm and Chazelle's...

Unlike quickselect, this algorithm is deterministic, not randomized. It was the first linear-time deterministic selection algorithm known, and is commonly...

systematic study of the computational complexity of geometric algorithms. Randomized algorithms that solve the problem in linear time are known, in Euclidean...

reference value may represent an unsuccessful (out-of-domain) result. Randomized algorithm Edward A. Lee. "The Problem with Threads" (PDF). Retrieved 2009-05-29...