stochastic
This term describes systems where the outcome is governed by probability rather than a fixed, predictable sequence. It is most frequently encountered in mathematics, physics, and computer science to describe processes that involve a degree of randomness, contrasting sharply with deterministic systems where the same input always produces the same output.
In a practical sense, calling a process stochastic implies that while individual events are unpredictable, the overall behavior of the system can often be analyzed and predicted using statistical laws. It carries a highly technical, academic connotation and is rarely used in casual conversation.
Meanings
Characterized by a random probability distribution or random variables.
The researchers used a stochastic model to predict the fluctuations in the stock market.
Relating to a process that is randomly determined rather than being deterministic.
Stochastic resonance can sometimes improve the detection of weak signals in noisy environments.
Examples
The researchers used a stochastic model to predict stock market fluctuations.
The system relies on a stochastic process rather than a deterministic one.