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Going Nuclear: Notes from the officially unofficial book tour
I work in the analytical labs at one of Europe’s oldest and largest nuclear sites: Sellafield, in northwestern England. I spend my days at the fume hood front, pipette in one hand and radiation probe in the other (and dosimeter pinned to my chest, of course). Outside the lab, I have a second job: I moonlight as a writer and public speaker. My new popular science book—Going Nuclear: How the Atom Will Save the World—came out last summer, and it feels like my life has been running at full power ever since.
D. B. MacMillan
Nuclear Science and Engineering | Volume 48 | Number 2 | June 1972 | Page 219
Technical Note | doi.org/10.13182/NSE72-A22473
Articles are hosted by Taylor and Francis Online.
Let α be a parameter governing a Monte Carlo importance sampling process. This note gives formulas by which the results of a Monte Carlo run may be used to estimate the derivatives of the variance with respect to α. It is pointed out that these derivatives may be used to optimize α, that is, to minimize the variance of the Monte Carlo problem.