Μετάφραση και ανάλυση λέξεων από τεχνητή νοημοσύνη
Σε αυτήν τη σελίδα μπορείτε να λάβετε μια λεπτομερή ανάλυση μιας λέξης ή μιας φράσης, η οποία δημιουργήθηκε χρησιμοποιώντας το ChatGPT, την καλύτερη τεχνολογία τεχνητής νοημοσύνης μέχρι σήμερα:
- πώς χρησιμοποιείται η λέξη
- συχνότητα χρήσης
- χρησιμοποιείται πιο συχνά στον προφορικό ή γραπτό λόγο
- επιλογές μετάφρασης λέξεων
- παραδείγματα χρήσης (πολλές φράσεις με μετάφραση)
- ετυμολογία
calculus of probabilities - translation to ολλανδικά
![[[Maria Gaetana Agnesi]]](https://commons.wikimedia.org/wiki/Special:FilePath/Maria Gaetana Agnesi.jpg?width=200 "[[Maria Gaetana Agnesi]]")
![Nautilus shell]] is a classical image used to depict the growth and change related to calculus.](https://commons.wikimedia.org/wiki/Special:FilePath/NautilusCutawayLogarithmicSpiral.jpg?width=200 "Nautilus shell]] is a classical image used to depict the growth and change related to calculus.")
![Archimedes used the [[method of exhaustion]] to calculate the area under a parabola in his work ''[[Quadrature of the Parabola]]''.](https://commons.wikimedia.org/wiki/Special:FilePath/Parabolic segment and inscribed triangle.svg?width=200 "Archimedes used the [[method of exhaustion]] to calculate the area under a parabola in his work ''[[Quadrature of the Parabola]]''.")
Ορισμός
Βικιπαίδεια
In probability theory and related fields, Malliavin calculus is a set of mathematical techniques and ideas that extend the mathematical field of calculus of variations from deterministic functions to stochastic processes. In particular, it allows the computation of derivatives of random variables. Malliavin calculus is also called the stochastic calculus of variations. P. Malliavin first initiated the calculus on infinite dimensional space. Then, the significant contributors such as S. Kusuoka, D. Stroock, Bismut, S. Watanabe, I. Shigekawa, and so on finally completed the foundations.
Malliavin calculus is named after Paul Malliavin whose ideas led to a proof that Hörmander's condition implies the existence and smoothness of a density for the solution of a stochastic differential equation; Hörmander's original proof was based on the theory of partial differential equations. The calculus has been applied to stochastic partial differential equations as well.
The calculus allows integration by parts with random variables; this operation is used in mathematical finance to compute the sensitivities of financial derivatives. The calculus has applications in, for example, stochastic filtering.
