random function sentence in Hindi
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- In what sense is it meaningful to talk about a random function on a sphere ? ( Continuous, say, or in some other convenient class of functions.
- This latter bound has been shown to express a variance to mean power law ( when regarded as a random function over the integers ), Tweedie compound Poisson distribution.
- :The proposed solution in the geostatistical formalism consists in assuming various degrees of stationarity in the random function, in order to make possible the inference of some statistic values.
- Note that the Fourier transform of x ( t ) \, does not exist in general, because stationary random functions are not generally either square integrable or absolutely integrable.
- In probability theory and its applications, such as statistics and cryptography, a "'random function "'is a function chosen randomly from a family of possible functions.
- In most of the approaches listed here, a well-understood block cipher ( such as AES ) is used as a primitive to take the place of an ideal random function.
- Therefore, given an output from either the truly random function or a PRF, there should be no efficient method to correctly determine whether the output was produced by the truly random function or the PRF.
- Therefore, given an output from either the truly random function or a PRF, there should be no efficient method to correctly determine whether the output was produced by the truly random function or the PRF.
- The term "'random function "'is also used to refer to a stochastic or random process, because a stochastic process can also be interpreted as a random element in a function space.
- In 1988, he collaborated with Michael Luby in a widely cited analysis of the Feistel cipher construction ( one important result shown there is the construction of a strongly pseudo random permutation generator from a pseudo random function generator ).
- Although the above argument shows that \ varphi does not exist as a random element of H ^ 1 ( \ Omega ), it still could be that it is a random function on \ Omega in some larger function space.
- To create an AND-construction, we define a new family \ mathcal G of hash functions, where each function is constructed from random functions h _ 1, . . ., h _ k from \ mathcal F.
- To create an OR-construction, we define a new family \ mathcal G of hash functions, where each function is constructed from random functions h _ 1, . . ., h _ k from \ mathcal F.
- Matheron presented his " Stationary Random Function " at the first colloquium on geostatistics in the USA . He called on Brownian motion to conjecture the continuity of his Riemann integral but did not explain what Brownian motion and ore deposits have in common.
- Then, the random function with probability density proportional to \ exp (-H ( \ varphi ) ) with respect to the Lebesgue measure on \ R ^ { V \ setminus U } is called the discrete GFF with boundary " U ".
- It should be noted that a Kolmogorov random function has no representation smaller than a lookup table that contains a ( random ) value corresponding to each point in the search space; " any " function that can be expressed more compactly is, by definition, not Kolmogorov random.
- As the name suggests, CCM mode combines the well known CBC-MAC with the well known size block cipher, and for any size cryptographically strong pseudo-random function ( since in both counter mode and CBC-MAC, the block cipher is only ever used in one direction ).
- In the theory of hyper-random phenomena, the main mathematical entities ( models ) are hyper-random events, hyper-random variables, and hyper-random functions, which are, respectively, sets of non-interconnected random events, random variables, and stochastic functions considered as a whole.
- Basic mathematical objects ( models ) of it are " hyper-random phenomena " ( in particular " hyper-random events, hyper-random variables, and hyper-random functions " ) that represent " sets of unlinked random objects " regarded in complex as a comprehensive whole.
- Where \ mathbf { x } = \ { x _ i | 1 \ le i \ le k \ } is the set of unknowns, the f _ i and g _ i are arbitrary functions and the \ eta _ m are random functions of time, often referred to as " noise terms ".
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