Results 241 to 250 of about 3,636,929 (289)
Enhancing Performance of Continuous-Variable Quantum Key Distribution (CV-QKD) and Gaussian Modulation of Coherent States (GMCS) in Free-Space Channels under Individual Attacks with Phase-Sensitive Amplifier (PSA) and Homodyne Detection (HD). [PDF]
Sensors (Basel)Alshaer N, Ismail T, Mahmoud H.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
2021
The basic theory of the probability has been discussed in Chap. 1. That knowledge based on the set theory is essential to understand the notion of probability. However, it lacks applicability in many cases. For instance, let consider that very large number of events is under investigation.
Muammer Catak +2 more
+5 more sources
The basic theory of the probability has been discussed in Chap. 1. That knowledge based on the set theory is essential to understand the notion of probability. However, it lacks applicability in many cases. For instance, let consider that very large number of events is under investigation.
Muammer Catak +2 more
+5 more sources
2011 IEEE 26th Annual Symposium on Logic in Computer Science, 2011
We introduce the domain of continuous random variables (CRV) over a domain, as an alternative to Jones and Plotkin's probabilistic power domain. While no known Cartesian-closed category is stable under the latter, we show that the so-called thin (uniform) CRVs define a strong monad on the Cartesian-closed category of bc-domains.
Goubault-Larrecq, Jean, Varacca, Daniele
openaire +2 more sources
We introduce the domain of continuous random variables (CRV) over a domain, as an alternative to Jones and Plotkin's probabilistic power domain. While no known Cartesian-closed category is stable under the latter, we show that the so-called thin (uniform) CRVs define a strong monad on the Cartesian-closed category of bc-domains.
Goubault-Larrecq, Jean, Varacca, Daniele
openaire +2 more sources
2019
This chapter introduced special continuous random variables including uniform random variable, exponential random variable, normal random variable, standard normal random variable, and other continuous random variables including gamma random variable, lognormal random variable, and Weibull random variable.
openaire +1 more source
This chapter introduced special continuous random variables including uniform random variable, exponential random variable, normal random variable, standard normal random variable, and other continuous random variables including gamma random variable, lognormal random variable, and Weibull random variable.
openaire +1 more source
2006
In Chapters 2 and 3, the only random variables we considered specifically were discrete ones such as the Bernoulli, binomial, Poisson, and geometric. In this chapter we consider a class of random variables allowed to take a continuum of values. These random variables are called continuous random variables and are introduced in Section 4.1.
openaire +1 more source
In Chapters 2 and 3, the only random variables we considered specifically were discrete ones such as the Bernoulli, binomial, Poisson, and geometric. In this chapter we consider a class of random variables allowed to take a continuum of values. These random variables are called continuous random variables and are introduced in Section 4.1.
openaire +1 more source
Searches for continuous-wave gravitational radiation
Living Reviews in Relativity, 2023Keith Riles
exaly
1968
The simplest decision problem involving a continuous decision and state variable is the allocation of a limited resource to consumption (depletion) in various periods [Bellman 1957, 4–9; Hotelling, 1931].
openaire +1 more source
The simplest decision problem involving a continuous decision and state variable is the allocation of a limited resource to consumption (depletion) in various periods [Bellman 1957, 4–9; Hotelling, 1931].
openaire +1 more source