Markov process
[MAR-kov PRAH-ses]
nounpl: Markov processes
processo de Markov
1. A stochastic process where the probability of future states depends only on the current state, not on the sequence of events that preceded it
The weather tomorrow depends only on today's weather, making it an example of a Markov process.
O tempo amanhã depende apenas do tempo de hoje, tornando-o um exemplo de um processo de Markov.
2. In mathematics and probability theory, a memoryless random process where transitions between states follow fixed probabilities
Monte Carlo simulations often use Markov processes to model random phenomena.
As simulações de Monte Carlo frequentemente usam processos de Markov para modelar fenômenos aleatórios.
Markov processes are fundamental concepts in applied mathematics, computer science, and statistical physics, particularly in Brazil and Portugal where probabilistic modeling is extensively used in engineering and finance sectors. Named after Russian mathematician Andrey Markov, the term is universally used in academic and professional settings across both English and Portuguese-speaking countries without translation variation.
Related Idioms & Phrases
memoryless property of a Markov process
Markov chain Monte Carlo (MCMC)
transition matrix of a Markov process
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