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If we assume that N mol molecules are independently photoactivated uniformly in time between 0 and t F, then the probability density function of the time lag, Δt i, between the two successive i th and (i + 1) th photoactivation events is given by the well known order statistics of the uniform distribution: (1) p (Δ t i ) = N m o l (1 − Δ t i / t F ) N m o l.
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Don't you need to honor someone well known in order to attract a crowd?
While realizability conditions are well known, least order solutions, which require as few integrators as possible, pose a difficult problem.
Because the properties of the beam have to be well known in order to compare the results of the experiment and the simulation on an absolute basis, the benchmark experiment was performed using the research electron accelerator of the Physikalisch-Technische Bundesanstalt (PTB), whose beam was accurately characterized in advance.
In this work, these two techniques are presented, and comparison are carried out using the well known First Order Reliability Method (FORM), Direct Monte Carlo Simulation and Monte Carlo Simulation with Adaptive Importance Sampling technique with approximated and exact limit state functions.
Vitreous physical characteristics need to be well known in order to recognize its active role in ocular physiology, as shown in Table 2 [ 6].
Although mainstream music entertainment is host to many talented artists that we all know and enjoy listening to, its best to experiment with different artists, both popular and not well known, in order to find artist that is most enjoyable to your own tastes in rap music.
For example if both and are zero mean Gaussian distributed, with variances and then the MAP filter becomes the very well known zero-order Wiener filter [10].
Most recently, Alam and Imdad [23, 24] established a new relation-theoretic version of the Banach contraction principle employing general binary relation which in turn generalizes several well known relevant order-theoretic fixed point theorems.
It is well known that fractional order models are more realistic and practical than the classical integer order models (see, e.g., [1 7]).
It is well known that partial order plays an important role in vector optimization theory.
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