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  • Randomized algorithm
  • Algorithm that employs a degree of randomness as part of its logic or procedure

    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

    Randomized algorithm

    Randomized_algorithm

  • Las Vegas algorithm
  • Type of randomized algorithm

    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

    Las Vegas algorithm

    Las_Vegas_algorithm

  • Monte Carlo algorithm
  • Type of randomized algorithm

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

    Monte Carlo algorithm

    Monte_Carlo_algorithm

  • Algorithm
  • Sequence of operations for a task

    The transition between states can be non-deterministic; randomized algorithms incorporate random input. Around 825 AD, Persian scientist and polymath Muḥammad

    Algorithm

    Algorithm

    Algorithm

  • Sorting algorithm
  • Algorithm that arranges lists in order

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

    Sorting algorithm

    Sorting algorithm

    Sorting_algorithm

  • Karger's algorithm
  • Randomized algorithm for minimum cuts

    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

    Karger's algorithm

    Karger's algorithm

    Karger's_algorithm

  • Galactic algorithm
  • Classification of algorithm

    A galactic algorithm is an algorithm with record-breaking theoretical (asymptotic) performance, but which is not used due to practical constraints. Typical

    Galactic algorithm

    Galactic_algorithm

  • Nondeterministic algorithm
  • Algorithm whose behavior and output may depend on the run

    science. In 1917, Henry C. Pocklington introduced a randomized algorithm known as Pocklington's algorithm for efficiently finding square roots modulo prime

    Nondeterministic algorithm

    Nondeterministic_algorithm

  • Rapidly exploring random tree
  • Search algorithm

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

    Rapidly exploring random tree

    Rapidly exploring random tree

    Rapidly_exploring_random_tree

  • Bogosort
  • Sorting algorithm

    k} is astronomically large. The following is a description of the randomized algorithm in pseudocode: function bogoSort(deck: List): while deck is not sorted:

    Bogosort

    Bogosort

  • In-place algorithm
  • Type of computer science algorithm

    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-place algorithm

    In-place_algorithm

  • Algorithmically random sequence
  • Binary sequence

    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

    Algorithmically random sequence

    Algorithmically_random_sequence

  • Yao's principle
  • Equivalence of average-case and expected complexity

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

    Yao's principle

    Yao's_principle

  • Treap
  • Random search tree data structure

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

    Treap

    Treap

    Treap

  • LU decomposition
  • Type of matrix factorization

    to an LU decomposition using a randomized algorithm. Given an input matrix A and a desired low rank k, the randomized LU returns permutation matrices

    LU decomposition

    LU_decomposition

  • Game tree
  • Combinatorial game theory concept to represent all possible game states

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

    Game tree

    Game tree

    Game_tree

  • Fisher–Yates shuffle
  • Algorithm for shuffling a finite sequence

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

    Fisher–Yates shuffle

    Fisher–Yates shuffle

    Fisher–Yates_shuffle

  • Outline of algorithms
  • Overview of and topical guide to algorithms

    eliminate candidate solutions Randomized algorithmalgorithm using randomness as part of its logic Approximation algorithmalgorithm that finds near-optimal

    Outline of algorithms

    Outline_of_algorithms

  • List of algorithms
  • Coppersmith–Winograd algorithm: square matrix multiplication Freivalds' algorithm: a randomized algorithm used to verify matrix multiplication Strassen algorithm: faster

    List of algorithms

    List_of_algorithms

  • Reservoir sampling
  • Randomized algorithm

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

    Reservoir sampling

    Reservoir_sampling

  • List of algorithm general topics
  • generator Quantum algorithm Random-restart hill climbing Randomized algorithm Running time Sorting algorithm Search algorithm Stable algorithm (disambiguation)

    List of algorithm general topics

    List_of_algorithm_general_topics

  • Ski rental problem
  • 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

    Ski rental problem

    Ski_rental_problem

  • Random forest
  • Tree-based ensemble machine learning methods

    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

    Random forest

    Random_forest

  • RP (complexity)
  • Randomized polynomial time class of computational complexity theory

    characterization makes the fact that RP is a subset of NP obvious. Randomized algorithm This comparison is attributed to Michael O. Rabin on p. 252 of Gasarch

    RP (complexity)

    RP_(complexity)

  • Maze generation algorithm
  • Automated methods for the creation of mazes

    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

    Maze generation algorithm

    Maze generation algorithm

    Maze_generation_algorithm

  • Competitive analysis (online algorithm)
  • Method for analyzing online algorithms

    algorithms are analysed for average-case and worst-case data. Competitive analysis is a way of doing worst case analysis for on-line and randomized algorithms

    Competitive analysis (online algorithm)

    Competitive_analysis_(online_algorithm)

  • Randomness
  • Apparent lack of pattern or predictability in events

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

    Randomness

    Randomness

    Randomness

  • Depth-first search
  • Algorithm to search the nodes of a graph

    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

    Depth-first search

    Depth-first search

    Depth-first_search

  • K-server problem
  • Computational problem of interest in computer science

    + 1 points). In 2011, a randomized algorithm with competitive bound Õ(log2k log3n) was found. In 2017, a randomized algorithm with competitive bound O(log6

    K-server problem

    K-server_problem

  • Randomized weighted majority algorithm
  • The randomized weighted majority algorithm is an algorithm in machine learning theory for aggregating expert predictions to a series of decision problems

    Randomized weighted majority algorithm

    Randomized_weighted_majority_algorithm

  • Generalized minimum-distance decoding
  • decoding algorithm. The first two will be randomized algorithms while the last one will be a deterministic algorithm. Hamming distance : Given two vectors

    Generalized minimum-distance decoding

    Generalized_minimum-distance_decoding

  • Algorithm engineering
  • and randomized algorithms in a simpler and more efficient fashion than with deterministic algorithms. Unfortunately, this makes even simple randomized algorithms

    Algorithm engineering

    Algorithm_engineering

  • Deterministic algorithm
  • Type of algorithm in computer science

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

    Deterministic algorithm

    Deterministic_algorithm

  • Quicksort
  • Divide and conquer sorting algorithm

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

    Quicksort

    Quicksort

    Quicksort

  • Element distinctness problem
  • equal elements; it may also be solved in linear expected time by a randomized algorithm that inserts each item into a hash table and compares only those

    Element distinctness problem

    Element_distinctness_problem

  • Random number generation
  • Creating sequence of numbers that cannot be predicted

    chance-dependent value Randomized algorithm Lugrin, Thomas (2023), Mulder, Valentin; Mermoud, Alain; Lenders, Vincent; Tellenbach, Bernhard (eds.), "Random Number Generator"

    Random number generation

    Random number generation

    Random_number_generation

  • Closest pair of points problem
  • Computational geometry problem

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

    Closest pair of points problem

    Closest pair of points problem

    Closest_pair_of_points_problem

  • Time complexity
  • Estimate of time taken for running an algorithm

    includes algorithms with the time complexities defined above. The specific term sublinear time algorithm commonly refers to randomized algorithms that sample

    Time complexity

    Time complexity

    Time_complexity

  • Adversary model
  • randomization does not help against it. From S. Ben-David, A. Borodin, R. Karp, G. Tardos, A. Wigderson we have: If there is a randomized algorithm that

    Adversary model

    Adversary_model

  • Pseudorandom number generator
  • Algorithm that generates an approximation of a random number sequence

    random bit generator (DRBG), is an algorithm for generating a sequence of numbers whose properties approximate the properties of sequences of random numbers

    Pseudorandom number generator

    Pseudorandom_number_generator

  • Atlantic City algorithm
  • Type of randomized algorithm

    In computing, an Atlantic City algorithm is a randomized algorithm that answers correctly at least 75% of the time. In some variant definitions, the correctness

    Atlantic City algorithm

    Atlantic_City_algorithm

  • Deutsch–Jozsa algorithm
  • Deterministic quantum algorithm

    and the first two output values are different. For a conventional randomized algorithm, a constant k {\displaystyle k} evaluations of the function suffices

    Deutsch–Jozsa algorithm

    Deutsch–Jozsa_algorithm

  • Bentley–Ottmann algorithm
  • Sweep line algorithm

    In computational geometry, the Bentley–Ottmann algorithm is a sweep line algorithm for listing all crossings in a set of line segments, i.e. it finds

    Bentley–Ottmann algorithm

    Bentley–Ottmann_algorithm

  • Selection algorithm
  • Method for finding kth smallest value

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

    Selection algorithm

    Selection_algorithm

  • Aanderaa–Karp–Rosenberg conjecture
  • Unsolved problem on graph query complexity

    {\displaystyle n} vertices. Versions of the problem for randomized algorithms and quantum algorithms have also been formulated and studied. The deterministic

    Aanderaa–Karp–Rosenberg conjecture

    Aanderaa–Karp–Rosenberg_conjecture

  • Polygon triangulation
  • Partition of a simple polygon into triangles

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

    Polygon triangulation

    Polygon triangulation

    Polygon_triangulation

  • Multiplicative weight update method
  • Algorithmic technique

    was in an algorithm named "fictitious play" which was proposed in game theory in the early 1950s. Grigoriadis and Khachiyan applied a randomized variant

    Multiplicative weight update method

    Multiplicative_weight_update_method

  • Stochastic process
  • Collection of random variables

    particularly in the analysis and development of randomized algorithms. These algorithms utilize random inputs to simplify problem-solving or enhance performance

    Stochastic process

    Stochastic process

    Stochastic_process

  • Minimum spanning tree
  • Least-weight tree connecting graph vertices

    linear time randomized algorithm based on a combination of Borůvka's algorithm and the reverse-delete algorithm. The fastest non-randomized comparison-based

    Minimum spanning tree

    Minimum spanning tree

    Minimum_spanning_tree

  • Expected linear time MST algorithm
  • The expected linear time MST algorithm is a randomized algorithm for computing the minimum spanning forest of a weighted graph with no isolated vertices

    Expected linear time MST algorithm

    Expected_linear_time_MST_algorithm

  • BPP (complexity)
  • Concept in computer science

    A Monte Carlo algorithm is a randomized algorithm which is likely to be correct. Problems in the class BPP have Monte Carlo algorithms with polynomial

    BPP (complexity)

    BPP_(complexity)

  • Algorithmic information theory
  • Subfield of information theory and computer science

    and the relations between them: algorithmic complexity, algorithmic randomness, and algorithmic probability. Algorithmic information theory principally

    Algorithmic information theory

    Algorithmic_information_theory

  • Knapsack problem
  • Problem in combinatorial optimization

    meet-in-the-middle algorithm, using insights from Schroeppel and Shamir's Algorithm for Subset Sum, provides as a corollary a randomized algorithm for Knapsack

    Knapsack problem

    Knapsack problem

    Knapsack_problem

  • PCP theorem
  • Theorem in computational complexity theory

    checked by a randomized algorithm) of constant query complexity and logarithmic randomness complexity (uses a logarithmic number of random bits). The PCP

    PCP theorem

    PCP_theorem

  • Maze-solving algorithm
  • Automated method for solving mazes

    maze-solving algorithm is an automated method for solving a maze. The random mouse, wall follower, Pledge, Tarry's, and Trémaux's algorithms are designed

    Maze-solving algorithm

    Maze-solving algorithm

    Maze-solving_algorithm

  • Birkhoff algorithm
  • Tool for working with matrices

    application is for the problem of fair random assignment: given a randomized allocation of items, Birkhoff's algorithm can decompose it into a lottery on

    Birkhoff algorithm

    Birkhoff_algorithm

  • Freivalds' algorithm
  • Randomized algorithm for verifying matrix multiplication

    Freivalds' algorithm (named after Rūsiņš Mārtiņš Freivalds) is a probabilistic randomized algorithm used to verify matrix multiplication. Given three n × n

    Freivalds' algorithm

    Freivalds'_algorithm

  • HyperLogLog
  • Approximate distinct counting algorithm

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

    HyperLogLog

    HyperLogLog

  • Baum–Welch algorithm
  • Algorithm in mathematics

    computing and bioinformatics, the Baum–Welch algorithm is a special case of the expectation–maximization algorithm used to find the unknown parameters of a

    Baum–Welch algorithm

    Baum–Welch_algorithm

  • SAT solver
  • Computer program for the Boolean satisfiability problem

    complete algorithms, such as DPLL. In contrast, randomized algorithms like the PPSZ algorithm by Paturi, Pudlak, Saks, and Zane set variables in a random order

    SAT solver

    SAT_solver

  • Graph traversal
  • Computer science algorithm

    1. An analogous competitive lower bound of Ω(n) also holds for randomized algorithms that know the coordinates of each node in a geometric embedding

    Graph traversal

    Graph_traversal

  • Random permutation
  • Sequence where any order is equally likely

    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

    Random permutation

    Random_permutation

  • Hash function
  • Mapping arbitrary data to fixed-size values

    representation of the board position. A universal hashing scheme is a randomized algorithm that selects a hash function h among a family of such functions,

    Hash function

    Hash function

    Hash_function

  • List update problem
  • 7/4-competitive. There are other randomized algorithms that perform better than BIT. In 1995, a randomized algorithm with competitive ratio of 1.6 was

    List update problem

    List_update_problem

  • Monte Carlo method
  • Probabilistic problem-solving algorithm

    Monte Carlo simulations, are a broad class of computational algorithms based on repeated random sampling for obtaining numerical results, conceptualized

    Monte Carlo method

    Monte Carlo method

    Monte_Carlo_method

  • Routing
  • Process of selecting paths in a data communications network

    spots in packet systems, a few algorithms use a randomized algorithm—Valiant's paradigm—that routes a path to a randomly picked intermediate destination

    Routing

    Routing

    Routing

  • Pseudorandom permutation
  • Class of functions in cryptography

    (UP) Fk is a permutation whose values cannot be predicted by a fast randomized algorithm. Unpredictable permutations may be used as a cryptographic primitive

    Pseudorandom permutation

    Pseudorandom_permutation

  • Algorithmic Lovász local lemma
  • On constructing objects that obey a system of constraints with limited dependence

    independent random variables P {\displaystyle {\mathcal {P}}} in Ω, Robin Moser and Gábor Tardos proposed an efficient randomized algorithm that computes

    Algorithmic Lovász local lemma

    Algorithmic_Lovász_local_lemma

  • Average-case complexity
  • Algorithm characteristic in computations

    input to an algorithm, which leads to the problem of devising a probability distribution over inputs. Alternatively, a randomized algorithm can be used

    Average-case complexity

    Average-case_complexity

  • Quantum computing
  • Computer hardware technology that uses quantum mechanics

    While programmers may depend on probability theory when designing a randomized algorithm, quantum-mechanical notions such as superposition and wave interference

    Quantum computing

    Quantum computing

    Quantum_computing

  • Michael O. Rabin
  • Israeli mathematician and computer scientist (1931–2026)

    While there, Rabin invented the Miller–Rabin primality test, a randomized algorithm that can determine very quickly (but with a tiny probability of error)

    Michael O. Rabin

    Michael O. Rabin

    Michael_O._Rabin

  • Genetic algorithm
  • Competitive algorithm for searching a problem space

    genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA) in

    Genetic algorithm

    Genetic algorithm

    Genetic_algorithm

  • Matching (graph theory)
  • Set of edges without common vertices

    greedy algorithm is 1/2-competitive. For the unweighted maximization case with a random arrival model, Karp, Vazirani and Vazirani gave a randomized algorithm

    Matching (graph theory)

    Matching_(graph_theory)

  • Polynomial-time approximation scheme
  • Type of approximation algorithm

    may admit a randomized algorithm with similar properties, a polynomial-time randomized approximation scheme or PRAS. A PRAS is an algorithm which takes

    Polynomial-time approximation scheme

    Polynomial-time_approximation_scheme

  • Random walker algorithm
  • Image segmentation algorithm

    The random walker algorithm is an algorithm for image segmentation. In the first description of the algorithm, a user interactively labels a small number

    Random walker algorithm

    Random_walker_algorithm

  • Borůvka's algorithm
  • Method for finding minimum spanning trees

    combining Prim's algorithm with Borůvka's. A faster randomized minimum spanning tree algorithm based in part on Borůvka's algorithm due to Karger, Klein

    Borůvka's algorithm

    Borůvka's algorithm

    Borůvka's_algorithm

  • Theil–Sen estimator
  • Statistical method for fitting a line

    Dillencourt, Michael B.; Mount, David M.; Netanyahu, Nathan S. (1992), "A randomized algorithm for slope selection", International Journal of Computational Geometry

    Theil–Sen estimator

    Theil–Sen estimator

    Theil–Sen_estimator

  • Convex volume approximation
  • provided a randomized polynomial time approximation scheme for the problem, providing a sharp contrast between the capabilities of randomized and deterministic

    Convex volume approximation

    Convex_volume_approximation

  • Randomized rounding
  • and operations research, randomized rounding is a widely used approach for designing and analyzing approximation algorithms. Many combinatorial optimization

    Randomized rounding

    Randomized_rounding

  • Universal hashing
  • Technique for selecting hash functions

    computing, universal hashing (in a randomized algorithm or data structure) refers to selecting a hash function at random from a family of hash functions

    Universal hashing

    Universal_hashing

  • Randomization
  • Process of making something random

    advanced randomization methods stems from the potential for skilled gamblers to exploit weaknesses in poorly randomized systems. High-quality randomization thwarts

    Randomization

    Randomization

  • Lateral computing
  • Method of solving computing problems

    well-designed randomized algorithm will have a very high probability of returning a correct answer. The two categories of randomized algorithms are: Monte

    Lateral computing

    Lateral_computing

  • Median trick
  • randomized algorithm with numeric output multiple times, and use the median of the obtained results as a final answer. For example, if an algorithm takes

    Median trick

    Median_trick

  • Prabhakar Raghavan
  • American computer scientist

    Google. His research spans algorithms, web search and databases. He is the co-author of the textbooks Randomized Algorithms with Rajeev Motwani and Introduction

    Prabhakar Raghavan

    Prabhakar Raghavan

    Prabhakar_Raghavan

  • Alpha–beta pruning
  • Search algorithm

    much smaller than the work done by the randomized algorithm, mentioned above, and is again optimal for such random trees. When the leaf values are chosen

    Alpha–beta pruning

    Alpha–beta_pruning

  • K-means clustering
  • Vector quantization algorithm minimizing the sum of squared deviations

    efficient heuristic algorithms converge quickly to a local optimum. These are usually similar to the expectation–maximization algorithm for mixtures of Gaussian

    K-means clustering

    K-means_clustering

  • Maximal independent set
  • Independent set which is not a subset of any other independent set

    In order to show that their algorithm is in N C 2 {\displaystyle NC_{2}} , they initially presented a randomized algorithm that uses O ( m ) {\displaystyle

    Maximal independent set

    Maximal independent set

    Maximal_independent_set

  • Centerpoint (geometry)
  • Multivariate generalization of the median

    Timothy M. (2004), "An optimal randomized algorithm for maximum Tukey depth", Proc. 15th ACM–SIAM Symp. on Discrete Algorithms (SODA 2004), Society for Industrial

    Centerpoint (geometry)

    Centerpoint_(geometry)

  • Random tree
  • Index of articles associated with the same name

    of nodes Random recursive tree, increasingly labelled trees, which can be generated using a simple stochastic growth rule. Treap or randomized binary search

    Random tree

    Random_tree

  • Cross-entropy method
  • Monte Carlo method for importance sampling and optimization

    yields the following randomized algorithm that happens to coincide with the so-called Estimation of Multivariate Normal Algorithm (EMNA), an estimation

    Cross-entropy method

    Cross-entropy_method

  • Convex hull algorithms
  • Class of algorithms in computational geometry

    (describes classical algorithms for 2-dimensional convex hulls). Chapter 11: Convex Hulls: pp. 235–250 (describes a randomized algorithm for 3-dimensional

    Convex hull algorithms

    Convex_hull_algorithms

  • Shor's algorithm
  • Quantum algorithm for integer factorization

    Shor's algorithm is a quantum algorithm for finding the prime factors of an integer. It was developed in 1994 by the American mathematician Peter Shor

    Shor's algorithm

    Shor's_algorithm

  • Property testing
  • Topic in computer science

    testing algorithm. Formally, a property testing algorithm with query complexity q(n) and proximity parameter ε for a decision problem L is a randomized algorithm

    Property testing

    Property_testing

  • Strongly connected component
  • Partition of a graph whose components are reachable from all vertices

    (2016), "Parallelism in Randomized Incremental Algorithms" (PDF), Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures - SPAA

    Strongly connected component

    Strongly connected component

    Strongly_connected_component

  • Set balancing
  • approximate solution can be found with the following very simple randomized algorithm: Send each subject to the treatment group with probability 1/2. In

    Set balancing

    Set_balancing

  • Gibbs sampling
  • Monte Carlo algorithm

    inference. It is a randomized algorithm (i.e. an algorithm that makes use of random numbers), and is an alternative to deterministic algorithms for statistical

    Gibbs sampling

    Gibbs_sampling

  • Ziggurat algorithm
  • Algorithm for pseudo-random number sampling

    The ziggurat algorithm is an algorithm for pseudo-random number sampling. Belonging to the class of rejection sampling algorithms, it relies on an underlying

    Ziggurat algorithm

    Ziggurat algorithm

    Ziggurat_algorithm

  • Probabilistic analysis of algorithms
  • probabilistic analysis of probabilistic (randomized) algorithms, the distributions or average of all possible choices in randomized steps is also taken into account

    Probabilistic analysis of algorithms

    Probabilistic_analysis_of_algorithms

  • Procedural generation
  • Method in which data is created algorithmically as opposed to manually

    of creating data algorithmically as opposed to manually, typically through a combination of human-generated content and algorithms coupled with computer-generated

    Procedural generation

    Procedural generation

    Procedural_generation

  • Hill climbing
  • Optimization algorithm

    technique which belongs to the family of local search. It is an iterative algorithm that starts with an arbitrary solution to a problem, then attempts to

    Hill climbing

    Hill climbing

    Hill_climbing

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Online names & meanings

  • Sharadendu | ஷராதேஂது
  • Boy/Male

    Tamil

    Sharadendu | ஷராதேஂது

    Moon of autumn, Autumn Moon

  • Kshiraj | க்ஷீராஜ
  • Boy/Male

    Tamil

    Kshiraj | க்ஷீராஜ

    Nectar

  • Chandraayan
  • Boy/Male

    Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Sanskrit, Sindhi

    Chandraayan

    The Moon

  • Chinmay
  • Girl/Female

    Indian, Kannada, Telugu

    Chinmay

    God Ganesh

  • Savage
  • Surname or Lastname

    English and Scottish

    Savage

    English and Scottish : nickname for a wild or uncouth person, from Middle English, Old French salvage, sauvage ‘untamed’ (Late Latin salvaticus literally ‘man of the woods’, a derivative of Latin silva ‘wood’, influenced by Latin salvus ‘whole’, i.e. natural).Irish : generally of English origin (it was taken to County Down in the 12th century), this name has also sometimes been adopted as equivalent of Gaelic Ó Sabháin, the name of a small south Munster sept, which was earlier Anglicized as O’Savin (see Savin).Americanized form of Ashkenazic Jewish Savich.A Jacob Savage, born in Exeter, Devon, England, in 1604, is recorded in Essex, NJ, by the early 1630s. Edward Savage, of Huguenot descent, emigrated from Ireland to Massachusetts in 1696. His grandson and namesake, who was born in Princeton, MA, in 1761 gained fame as an artist for his portrait of George Washington (1789–90).

  • Yutesh
  • Boy/Male

    Indian, Malayalam

    Yutesh

    Protecting

  • Chapell
  • Surname or Lastname

    English

    Chapell

    English : variant spelling of Chappell.

  • Mashhud
  • Boy/Male

    Muslim/Islamic

    Mashhud

    Clear Manifest, Witnessed

  • Ethraj
  • Boy/Male

    Indian

    Ethraj

    Love

  • Kamalpal
  • Boy/Male

    Indian, Punjabi, Sikh

    Kamalpal

    Protector of Lotus

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RANDOMIZED ALGORITHM

  • Algorithm
  • n.

    The art of calculating by nine figures and zero.

  • Algorism
  • n.

    Alt. of Algorithm

  • Algorithm
  • n.

    The art of calculating with any species of notation; as, the algorithms of fractions, proportions, surds, etc.