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Stochastic process: Probability theory, Deterministic system (mathematics), Gillespie algorithm, Markov chain, Stochastic calculus, Dynamics of Markovian particles -

English
2026-03-20
€127.50 €182.14

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online.In probability theory, a stochastic process, or sometimes random process, is the counterpart to a deterministic process. Instead of dealing with only one possible "reality" of how the process might evolve under time (as is the case, for example, for solutions of an ordinary differen ... Full description

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Description

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online.In probability theory, a stochastic process, or sometimes random process, is the counterpart to a deterministic process. Instead of dealing with only one possible "reality" of how the process might evolve under time (as is the case, for example, for solutions of an ordinary differential equation), in a stochastic or random process there is some indeterminacy in its future evolution described by probability distributions. This means that even if the initial condition (or starting point) is known, there are many possibilities the process might go to, but some paths are more probable and others less.

More Information

Publisher OmniScriptum
Release year 2026
Cover type Softcover
EAN 9786130302238
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€127.50 €182.14