Monte Carlo Transport Calculations On An Ultracomputer
Monte Carlo Transport Calculations On An Ultracomputer
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In our eReader you can find the full English version of the book. Read Monte Carlo Transport Calculations On An Ultracomputer Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book Monte Carlo Transport Calculations On An Ultracomputer
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To quickly assess the difficulty of the text, read a short excerpt:
Three alternatives were used for the distribution of the random time mentioned above: The exponential distribution, i. E.
p(t) = e"*^, t > (i) or the geometrical distribution, i. E.
p(t=n) = p^-^ p^, (n = 1, 2, ... (ii) where p^ + Pg = 1, p^, is the capture probability and Pg is the survival probability in one collision, or a composite of (i) and (ii), viz. , n t = y t. , (ill) with each t^ distributed as e"*", and n following the law given in (ii). Usually, this case is closest to reality.
Tab...le 7-A gives the estimated efficiency for the above three distributions and for the preassigned equal number of summands with -10- varlous numbers of PE's (denoted as N) and coca! histories M = 128 or 1024. As a Monte Carlo calculation, 20 experiments were performed for each situation, and the average (the ratio of the total sums, not the mean value of the ratio) is taken as the estimate. Tnere is no significant difference among the efficiencies corresponding to the three different distributions.
What to read after Monte Carlo Transport Calculations On An Ultracomputer?
You can find similar books in the "Read Also" column, or choose other free books by Y Q Zhong to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
Three alternatives were used for the distribution of the random time mentioned above: The exponential distribution, i. E.
p(t) = e"*^, t > (i) or the geometrical distribution, i. E.
p(t=n) = p^-^ p^, (n = 1, 2, ... (ii) where p^ + Pg = 1, p^, is the capture probability and Pg is the survival probability in one collision, or a composite of (i) and (ii), viz. , n t = y t. , (ill) with each t^ distributed as e"*", and n following the law given in (ii). Usually, this case is closest to reality.
Tab...le 7-A gives the estimated efficiency for the above three distributions and for the preassigned equal number of summands with -10- varlous numbers of PE's (denoted as N) and coca! histories M = 128 or 1024. As a Monte Carlo calculation, 20 experiments were performed for each situation, and the average (the ratio of the total sums, not the mean value of the ratio) is taken as the estimate. Tnere is no significant difference among the efficiencies corresponding to the three different distributions.
What to read after Monte Carlo Transport Calculations On An Ultracomputer?
You can find similar books in the "Read Also" column, or choose other free books by Y Q Zhong to read onlineMoreLess
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