AI & ChatGPT searches , social queries for MONTE CARLO-ALGORITHM
Search references for MONTE CARLO-ALGORITHM. Phrases containing MONTE CARLO-ALGORITHM
See searches and references containing MONTE CARLO-ALGORITHM!
Search references for MONTE CARLO-ALGORITHM. Phrases containing MONTE CARLO-ALGORITHM
See searches and references containing MONTE CARLO-ALGORITHM!MONTE CARLO-ALGORITHM
Type of randomized algorithm
In computing, a Monte Carlo algorithm is a randomized algorithm whose output may be incorrect with a certain (typically small) probability. Two examples
Monte_Carlo_algorithm
Probabilistic problem-solving algorithm
Monte Carlo methods, also called the Monte Carlo experiments or Monte Carlo simulations, are a broad class of computational algorithms based on repeated
Monte_Carlo_method
Sampling algorithm
The Hamiltonian Monte Carlo algorithm (originally known as hybrid Monte Carlo) is a Markov chain Monte Carlo method for obtaining a sequence of random
Hamiltonian_Monte_Carlo
Calculation of complex statistical distributions
In statistics, Markov chain Monte Carlo (MCMC) is a class of algorithms used to draw samples from a probability distribution. Given a probability distribution
Markov_chain_Monte_Carlo
Monte Carlo algorithm
statistics and statistical physics, the Metropolis–Hastings algorithm is a Markov chain Monte Carlo (MCMC) method for obtaining a sequence of random samples
Metropolis–Hastings_algorithm
Type of randomized algorithm
Vegas algorithms were introduced by László Babai in 1979, in the context of the graph isomorphism problem, as a dual to Monte Carlo algorithms. Babai
Las_Vegas_algorithm
Numerical technique
computes a definite integral. While other algorithms usually evaluate the integrand at a regular grid, Monte Carlo randomly chooses points at which the integrand
Monte_Carlo_integration
Heuristic search algorithm for evaluating game trees
In computer science, Monte Carlo tree search (MCTS) is a heuristic tree search algorithm for some kinds of decision processes, most notably those employed
Monte_Carlo_tree_search
Statistical simulation method
inputs to the KMC algorithm; the method itself cannot predict them. The KMC method is essentially the same as the dynamic Monte Carlo method and the Gillespie
Kinetic_Monte_Carlo
Probabilistic algorithms to simulate quantum many-body systems
properties and numerically exact exponentially scaling quantum Monte Carlo algorithms, but none that are both. In principle, any physical system can be
Quantum_Monte_Carlo
Algorithm that employs a degree of randomness as part of its logic or procedure
(Las Vegas algorithms, for example Quicksort), and algorithms which have a chance of producing an incorrect result (Monte Carlo algorithms, for example
Randomized_algorithm
Type of randomized algorithm
either sense, Atlantic City algorithms are types of Monte Carlo algorithms. There exists a polynomial-time Atlantic City algorithm for any problem belonging
Atlantic_City_algorithm
Monte Carlo (MLMC) methods in numerical analysis are algorithms for computing expectations that arise in stochastic simulations. Just as Monte Carlo methods
Multilevel_Monte_Carlo_method
Method for stochastic equation systems
Mathematically, it is a variant of a dynamic Monte Carlo method and similar to the kinetic Monte Carlo methods. It is used heavily in computational systems
Gillespie_algorithm
Algorithm whose behavior and output may depend on the run
algorithms, for which (like concurrent algorithms) all runs must produce correct output, and Monte Carlo algorithms which are allowed to fail or produce
Nondeterministic_algorithm
Markov Chain Monte Carlo algorithm
statistics, the Metropolis-adjusted Langevin algorithm (MALA) or Langevin Monte Carlo (LMC) is a Markov chain Monte Carlo (MCMC) method for obtaining random samples
Metropolis-adjusted Langevin algorithm
Metropolis-adjusted_Langevin_algorithm
Numerical integration process
regular Monte Carlo method or Monte Carlo integration, which are based on sequences of pseudorandom numbers. Monte Carlo and quasi-Monte Carlo methods
Quasi-Monte_Carlo_method
Monte Carlo method
Direct simulation Monte Carlo (DSMC) method uses probabilistic Monte Carlo simulation to solve the Boltzmann equation for finite Knudsen number fluid flows
Direct_simulation_Monte_Carlo
Topics referred to by the same term
integration Monte Carlo option model, an option valuation model using Monte Carlo methods Monte Carlo algorithm, a randomized algorithm Monte Carlo localization
Monte_Carlo_(disambiguation)
1953 scientific article
as the Metropolis Monte Carlo algorithm, later generalized as the Metropolis–Hastings algorithm, which forms the basis for Monte Carlo statistical mechanics
Equation of State Calculations by Fast Computing Machines
Equation_of_State_Calculations_by_Fast_Computing_Machines
Implementation Las Vegas algorithm Lock-free and wait-free algorithms Monte Carlo algorithm Numerical analysis Online algorithm Polynomial time approximation
List of algorithm general topics
List_of_algorithm_general_topics
Robotics algorithm
Monte Carlo localization (MCL), also known as particle filter localization, is an algorithm for robots to localize using a particle filter. Given a map
Monte_Carlo_localization
Reptation Monte Carlo is a quantum Monte Carlo method. It is similar to Diffusion Monte Carlo, except that it works with paths rather than points. This
Reptation_Monte_Carlo
The Swendsen–Wang algorithm is the first non-local or cluster algorithm for Monte Carlo simulation for large systems near criticality. It has been introduced
Swendsen–Wang_algorithm
Collective behavior of decentralized, self-organized systems
Ant-inspired Monte Carlo algorithm for Minimum Feedback Arc Set where this has been achieved probabilistically via hybridization of Monte Carlo algorithm with
Swarm_intelligence
Diffusion Monte Carlo (DMC) or diffusion quantum Monte Carlo is a quantum Monte Carlo method that uses a Green's function to calculate low-lying energies
Diffusion_Monte_Carlo
pivot algorithm is a form of Monte Carlo algorithm used to generate configurations of self-avoiding walks, typically on a lattice. The algorithm typically
Pivot_algorithm
Electronic radiation calculation tool
radiation effects can be estimated at any point of the 3D model using a Monte Carlo algorithm for a fine calculation of energy deposition by particle-matter interaction
FASTRAD
Monte Carlo in statistical physics refers to the application of the Monte Carlo method to problems in statistical physics, or statistical mechanics. The
Monte Carlo method in statistical mechanics
Monte_Carlo_method_in_statistical_mechanics
The Wolff algorithm (Modified Swendsen-Wang algorithm), is an algorithm for Monte Carlo simulation of the Ising model and Potts model in which the unit
Wolff_algorithm
Type of Monte Carlo algorithms for signal processing and statistical inference
Particle filters, also known as sequential Monte Carlo methods, are a set of Monte Carlo algorithms used to find approximate solutions for filtering problems
Particle_filter
American physicist and computer scientist (1927-2020)
development of the Metropolis–Hastings algorithm. She wrote the first full implementation of the Markov chain Monte Carlo method. Arianna Rosenbluth was born
Arianna_W._Rosenbluth
Algorithm for solving various problems in computational group theory
of implementations of the Schreier–Sims algorithm. The Monte Carlo variations of the Schreier–Sims algorithm have the estimated complexity: O ( n log
Schreier–Sims_algorithm
Algorithm
The VEGAS algorithm, due to G. Peter Lepage, is a method for reducing error in Monte Carlo simulations by using a known or approximate probability distribution
VEGAS_algorithm
American financial services company
Collectively, the log-returns of the risk factors are multivariate normal. Monte Carlo algorithm simulation generates random market scenarios drawn from that multivariate
RiskMetrics
Statistical method
There are at least two ways of performing case resampling. The Monte Carlo algorithm for case resampling is quite simple. First, we resample the data
Bootstrapping_(statistics)
Problem of finding a cycle through all vertices of a graph
problem in arbitrary n-vertex graphs by a Monte Carlo algorithm in time O(1.657n); for bipartite graphs this algorithm can be further improved to time O(1.415n)
Hamiltonian_path_problem
Algorithm to multiply matrices
smaller hidden constant coefficient. Freivalds' algorithm is a simple Monte Carlo algorithm that, given matrices A, B and C, verifies in Θ(n2) time if AB =
Matrix multiplication algorithm
Matrix_multiplication_algorithm
process algorithms, the Monte Carlo POMDP (MC-POMDP) is the particle filter version for the partially observable Markov decision process (POMDP) algorithm. In
Monte_Carlo_POMDP
Methods of calculating definite integrals
class of useful Monte Carlo methods are the so-called Markov chain Monte Carlo algorithms, which include the Metropolis–Hastings algorithm and Gibbs sampling
Numerical_integration
Quantum algorithm to calculate path integrals in quantum multi-body problems
Path integral Monte Carlo (PIMC) is a quantum Monte Carlo method used to solve quantum statistical mechanics problems numerically within the path integral
Path_integral_Monte_Carlo
Statistical modeling method
The Reverse Monte Carlo (RMC) modelling method is a variation of the standard Metropolis–Hastings algorithm to solve an inverse problem whereby a model
Reverse_Monte_Carlo
Mathematical theory on behavior of connected clusters in a random graph
random maze of open or closed tunnels. In 1954, during a symposium on Monte Carlo methods, he asks questions to John Hammersley on the use of numerical
Percolation_theory
The Monte Carlo method for electron transport is a semiclassical Monte Carlo (MC) approach of modeling semiconductor transport. Assuming the carrier motion
Monte Carlo methods for electron transport
Monte_Carlo_methods_for_electron_transport
Model in statistical genetics
sequence alignments, have thus mostly relied on Markov chain Monte Carlo algorithms. MCMC algorithms under the multispecies coalescent model are similar to
Multispecies coalescent process
Multispecies_coalescent_process
Linear combination of nth roots
of a sum of radicals. In 1991, Blömer proposed a polynomial time Monte Carlo algorithm for determining whether a sum of radicals is zero, or more generally
Sum_of_radicals
American mathematician and statistician
has written many research papers and a book about Markov chain Monte Carlo algorithms, including their applications in biology. He is also co-author of
Jun_S._Liu
Russian mathematician (1926–2025)
9 December 2025) was a Russian mathematician, known for his work on Monte Carlo methods. His research spanned several applications, from nuclear studies
Ilya_M._Sobol'
Software package for simulating nuclear processes
Monte Carlo N-Particle Transport (MCNP) is a general-purpose, continuous-energy, generalized-geometry, time-dependent, Monte Carlo radiation transport
Monte Carlo N-Particle Transport Code
Monte_Carlo_N-Particle_Transport_Code
known that the expected error of Monte Carlo is of order n − 1 / 2 {\displaystyle n^{-1/2}} . Thus, the cost of the algorithm that has error ϵ {\displaystyle
Quasi-Monte Carlo methods in finance
Quasi-Monte_Carlo_methods_in_finance
Monte Carlo method for density of states
The Wang and Landau algorithm, proposed by Fugao Wang and David P. Landau, is a Monte Carlo method designed to estimate the density of states of a system
Wang_and_Landau_algorithm
Process of mathematical modelling, performed on a computer
nuclear detonation. It was a simulation of 12 hard spheres using a Monte Carlo algorithm. Computer simulation is often used as an adjunct to, or substitute
Computer_simulation
Chinese American statistician (born 1963)
University. He has written numerous research papers about Markov chain Monte Carlo algorithms and other statistical methodology. Meng received his B.Sc. from
Xiao-Li_Meng
Sequence of operations for a task
P versus NP problem. There are two large classes of such algorithms: Monte Carlo algorithms return a correct answer with high probability. E.g. RP is
Algorithm
Concept in computer science
PostBQP. 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)
Russian-American physicist
Tupitsyn of the widely used Worm Monte-Carlo algorithm. With Nikolay Prokof'ev he invented Diagrammatic Monte-Carlo method which is stochastic summation
Boris_Svistunov
of Ford–Fulkerson Ford–Fulkerson algorithm: computes the maximum flow in a graph Karger's algorithm: a Monte Carlo method to compute the minimum cut
List_of_algorithms
Probabilistic optimization technique and metaheuristic
method. The method is an adaptation of the Metropolis–Hastings algorithm, a Monte Carlo method to generate sample states of a thermodynamic system, published
Simulated_annealing
Optimization and sampling technique
Langevin Monte Carlo algorithm, first coined in the literature of lattice field theory. This algorithm is also a reduction of Hamiltonian Monte Carlo, consisting
Stochastic gradient Langevin dynamics
Stochastic_gradient_Langevin_dynamics
Field of artificial intelligence around Go computer programs
without creation of human-like AI. The application of Monte Carlo tree search to Go algorithms provided a notable improvement in the late 2000s, with
Computer_Go
Algorithm
Slice sampling is a type of Markov chain Monte Carlo algorithm for pseudo-random number sampling, i.e. for drawing random samples from a statistical distribution
Slice_sampling
Monte Carlo sampling scheme
Metropolis–Hastings algorithm is a Monte Carlo method to sample from a probability distribution. It is an instance of the popular Metropolis–Hastings algorithm that
Pseudo-marginal Metropolis–Hastings algorithm
Pseudo-marginal_Metropolis–Hastings_algorithm
Filtration of fluids through porous materials
French). O. Doin. Newman, Mark; Ziff, Robert (2000). "Efficient Monte Carlo Algorithm and High-Precision Results for Percolation". Physical Review Letters
Percolation
Mathematical model for a quantum system
Retrieved 10 July 2010. Alet, Fabien; Erik S. Sørensen (2003). "Cluster Monte Carlo algorithm for the quantum rotor model". Phys. Rev. E. 67 (1) 015701. arXiv:cond-mat/0211262
Quantum_rotor_model
Algorithm in computational quantum physics
In computational physics, variational Monte Carlo (VMC) is a quantum Monte Carlo method that applies the variational method to approximate the ground state
Variational_Monte_Carlo
Problem in computer science
Blomer presents a polynomial-time Monte Carlo algorithm for deciding whether a sum of square roots equals zero. The algorithm applies more generally, to any
Square-root_sum_problem
Topics referred to by the same term
data exchange across two or more networked computers Constraint Monte Carlo algorithm that uses random sampling for computer simulations CMC (basketball)
CMC
Algorithm in statistical physics
on 1D lattices with external field. CRAN. Metropolis algorithm Ising model Monte Carlo algorithm Simulated annealing Süzen, Mehmet (29 September 2014)
Glauber_dynamics
Computer graphics rendering method using diffuse reflection
that reflect light diffusely. Unlike rendering methods that use Monte Carlo algorithms (such as path tracing), which handle all types of light paths, typical
Radiosity_(computer_graphics)
Theoretical chemist
down-foldings, tensor network algorithms, local quantum chemistry methods, quantum embeddings, and new quantum Monte Carlo algorithms. The scientific community
Garnet_K.-L._Chan
Type of random graph
"Generalization of the Fortuin-Kasteleyn-Swendsen-Wang representation and Monte Carlo algorithm". Physical Review D. 38 (6): 2009–2012. Bibcode:1988PhRvD..38.2009E
Random_cluster_model
Variants of the Monte Carlo method: Direct simulation Monte Carlo Quasi-Monte Carlo method Markov chain Monte Carlo Metropolis–Hastings algorithm Multiple-try
List of numerical analysis topics
List_of_numerical_analysis_topics
Imitation of the operation of a real-world process or system over time
simulator – Technology used for training miners Monte Carlo algorithm – Type of randomized algorithm Network simulation – Simulating computer networks
Simulation
Integer factorization algorithm
algorithm for logarithms Pollard's kangaroo algorithm Exercise 31.9-4 in CLRS () Pollard, J. M. (1975). "A Monte Carlo method for factorization" (PDF). BIT Numerical
Pollard's_rho_algorithm
Statistical distribution for dependence between random variables
estimated), this expectation can be approximated through the following Monte Carlo algorithm: Draw a sample ( U 1 k , … , U d k ) ∼ C ( k = 1 , … , n ) {\displaystyle
Copula_(statistics)
Computer built in 1952 for Los Alamos Scientific Lab
wrote the first full implementation of the widely used Markov chain Monte Carlo algorithm. Paul Stein and Mark Wells – implemented Los Alamos chess. Nils
MANIAC_I
The demon algorithm is a Monte Carlo method for efficiently sampling members of a microcanonical ensemble with a given energy. An additional degree of
Demon_algorithm
Mathematical model of ferromagnetism in statistical mechanics
Metropolis–Hastings algorithm is the most commonly used Monte Carlo algorithm to calculate Ising model estimations. The algorithm first chooses selection
Ising_model
Algorithmic runtime requirements for matrix multiplication
complexity of mathematical operations CYK algorithm § Valiant's algorithm Freivalds' algorithm, a simple Monte Carlo algorithm that, given matrices A, B and C,
Computational complexity of matrix multiplication
Computational_complexity_of_matrix_multiplication
Monte Carlo molecular modelling is the application of Monte Carlo methods to molecular problems. These problems can also be modelled by the molecular
Monte Carlo molecular modeling
Monte_Carlo_molecular_modeling
Type of crystal structures
cannot be distinguished by a diffraction experiment. Recently, a Monte Carlo algorithm was proposed to calculate the number of homometric structures corresponding
Homometric_structures
grown again. The model is subjected to a Monte Carlo algorithm based simulations, using Gillespie algorithm. In 2010, Eors Szathmary and collaborators
Gard_model
Monte Carlo algorithm
statistics, Gibbs sampling or a Gibbs sampler is a Markov chain Monte Carlo (MCMC) algorithm for sampling from a specified multivariate probability distribution
Gibbs_sampling
Probabilistic measurement methods
Monte Carlo methods are used in corporate finance and mathematical finance to value and analyze (complex) instruments, portfolios and investments by simulating
Monte Carlo methods in finance
Monte_Carlo_methods_in_finance
British statistician (1945–2010)
agricultural science), and Bayesian inference (including Markov chain Monte Carlo algorithms). Besag was born in Loughborough and was educated at Loughborough
Julian_Besag
Computational statistics technique
the Metropolis algorithm. This method relates to the general field of Monte Carlo techniques, including Markov chain Monte Carlo algorithms that also use
Rejection_sampling
Computer graphics method
finding an approximate solution using Monte Carlo integration. An inefficient (but accurate) version of the algorithm can be very simple, and involves tracing
Path_tracing
Computer modelling of a petroleum reservoir
the algorithm, making the process more objective. From the posterior PDF, realizations are generated using a Markov chain Monte Carlo algorithm. These
Reservoir_modeling
Greek-American physicist and mathematician (1915–1999)
relatives' love for the casinos of Monte Carlo. Metropolis was deeply involved in the very first use of the Monte Carlo method, rewiring the ENIAC computer
Nicholas_Metropolis
Probabilistic problem-solving algorithms
Mean-field particle methods are a broad class of interacting type Monte Carlo algorithms for simulating from a sequence of probability distributions satisfying
Mean-field_particle_methods
Reconstruction of binary images from a small number of their projections
techniques (e.g., DART or ), greedy algorithms (see for approximation guarantees), and Monte Carlo algorithms. Various algorithms have been applied in image processing
Discrete_tomography
British physicist
home page Newman, M. E. J.; Ziff, R. M. (6 Nov 2000). "Efficient Monte Carlo algorithm and high-precision results for percolation". Physical Review Letters
Mark_Newman
Statistical method for molecular phylogenetics
of the Bayesian approach until the 1990s, when Markov Chain Monte Carlo (MCMC) algorithms revolutionized Bayesian computation. The Bayesian approach to
Bayesian inference in phylogeny
Bayesian_inference_in_phylogeny
Unsolved problem on graph query complexity
defined with respect to Monte Carlo algorithms or Las Vegas algorithms, but it is usually taken to mean Monte Carlo quantum algorithms. In the context of this
Aanderaa–Karp–Rosenberg conjecture
Aanderaa–Karp–Rosenberg_conjecture
framework for approximating a distribution. It is a Markov chain Monte Carlo algorithm, in that it iteratively samples from the current estimate of the
Collective_classification
Geophysical process
The algorithm determines the weighting of each data source, eliminating potential bias. The posterior PDF is then input to a Markov chain Monte Carlo algorithm
Seismic_inversion
Branch of mathematical statistics
Sturmfels introduced Gröbner bases for constructing Markov chain Monte Carlo algorithms for conditional sampling from discrete exponential families. Pistone
Algebraic_statistics
Primality test for numbers of a certain form
this is in contrast to the probably prime results typical of other Monte Carlo algorithms such as the Miller-Rabin test. An approximate upper bound error
Proth's_theorem
Topics referred to by the same term
Kapoor Monte Carlo Particle Lists (MCPL), a software for exchange of (particle) data between radiation transport codes applying the Monte Carlo algorithm Search
MCPL
Svistunov (born 1959), physicist, co-inventor of the widely used Worm Monte-Carlo algorithm Jacob Tamarkin (1888–1945), mathematician and vice-president of
List_of_Russian_Americans
MONTE CARLO-ALGORITHM
MONTE CARLO-ALGORITHM
Male
Italian
Italian form of Latin Carolus, CARLO means "man."
Girl/Female
English American French
A feminine form of Charles meaning strong or manly. Also a . Also used as the feminine of Carl...
Female
Italian
 Feminine form of Italian Carlo, CARLA means "man." Compare with another form of Carla.
Surname or Lastname
English, Dutch, German, and Scandinavian
English, Dutch, German, and Scandinavian : variant of Carl.
Boy/Male
Italian Spanish American English French
Mountain. Abbreviation of Montague and Montgomery.
Surname or Lastname
Portuguese, Galician, Italian, and Jewish (Sephardic)
Portuguese, Galician, Italian, and Jewish (Sephardic) : habitational name from any of the many places in Portugal, Galicia, and Italy named or named with Ponte, from ponte ‘bridge’.English : variant spelling of Pont.
Female
English
English form of French Carole, CAROL means "man."Â Compare with masculine Carol.
Female
English
Variant spelling of English Carlie, CARLY means "man."
Female
Portuguese
Portuguese form of Latin Carmel, CARMO means "garden-land."
Girl/Female
American, Christian, English, French, German, Indian, Italian, Latin, Romanian, Spanish, Swedish
Fem Form of Carl; Womanly
Girl/Female
American, Australian, British, English, German, Swedish
Manly; Feminine Variant of Charles; Carl; Little One Dark Haired
Male
English
Variant spelling of English Monty, MONTE means "pointed mountain."
Surname or Lastname
English, Dutch, or German
English, Dutch, or German : patronymic from Carl.
Male
Spanish
Portuguese and Spanish form of Latin Carolus, CARLOS means "man."
Male
Romanian
 Short form of Latin Carolus, CAROL means "man." Compare with feminine Carol. In use by the Romanians.
Male
English
Older spelling of German Karl, CARL means "man."Â
Female
English
Feminine form of English Monty, MONTA means "pointed hill."
Female
English
 Feminine form of German Carl, CARLA means "man." Feminine form of Italian Carlo, meaning "man."
Female
German
 Feminine form of German Carl, CARLA means "man." Compare with another form of Carla.
Boy/Male
English American German
Man. Famous Bearer: astronomer Carl Sagan.
MONTE CARLO-ALGORITHM
MONTE CARLO-ALGORITHM
Girl/Female
Hindu
The Goddess of victory
Boy/Male
Indian, Tamil
Brave; Achiever
Boy/Male
Arabic, Muslim
Powerful; Fearless; Dauntless
Girl/Female
Indian, Punjabi, Sikh
Meditative Mind
Boy/Male
Indian, Sanskrit
Matted Hair; Mud; Heaven; Sky
Boy/Male
Tamil
Companionate person, Kind
Girl/Female
Tamil
One who is outstanding example of peace & humility
Girl/Female
Tamil
Sarmala | ஸரà¯à®®à®¾à®‚லா
Surname or Lastname
English (Lancashire)
English (Lancashire) : perhaps a variant of Warburton; otherwise a habitational name from a lost or unidentified place.
Boy/Male
Indian, Punjabi, Sikh
Blissful Friend
MONTE CARLO-ALGORITHM
MONTE CARLO-ALGORITHM
MONTE CARLO-ALGORITHM
MONTE CARLO-ALGORITHM
MONTE CARLO-ALGORITHM
n.
See 4th Carol.
n.
A song of praise of devotion; as, a Christmas or Easter carol.
n.
One of the twelve portions into which the year is divided; the twelfth part of a year, corresponding nearly to the length of a synodic revolution of the moon, -- whence the name. In popular use, a period of four weeks is often called a month.
n.
A month.
n.
A month.
n.
See Carl.
imp. & p. p.
of Carol
n.
Freight; cargo; lading. Milton.
n.
Freight; loading; cargo.
pl.
of Cardo
n.
A favorite gambling game among Spaniards, played with dice or cards.
pl.
of Cargo
n.
A cargo.
n.
A load; cargo; burden.
n.
Large stalks of hemp which bear the seed; -- called also carl hemp.
p. pr. & vb. n.
of Carol
n.
Same as 4th Carol.