Sobol revels in his reputation as a bad boy.
Donald J Sobol , author of 'Encyclopedia Brown' children's mysteries, dies at 87.
Jon Lord, Bob Babbitt, Donald J Sobol .
'Encyclopedia Brown' author Donald J Sobol remembered.
Sobol , 87, had penned more than 20 books featuring Encyclopedia Brown, a.k.a.
Sobol , Creator of Encyclopedia Brown, Dies at 87.
Donald J Sobol – Creator of Encyclopedia Brown.
'Encyclopedia Brown' author Donald J Sobol dead at 87.
Sobol , the author responsible for the beloved series of "Encylopedia Brown" books, has passed away at 87.
Sobol , creator of the popular Encyclopedia Brown mystery series as well as numerous titles for young adults, died on July 11.
Donald J Sobol, author of 'Encyclopedia Brown' children's mysteries, dies at 87.
Jon Lord, Bob Babbitt , Donald J Sobol.
Val Sobol's aerial exploits prompted her coach to say she'd jump if the team won the conference tournament.
Chapman soccer player Val Sobol (3) convinced Panthers coach Courtney Calderon to jump out of a plane if the team won the conference tournament, which it did.
Donald J Sobol, ' Encyclopedia Brown' author: 1925-2012.
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Scrambling Sobol’ and Niederreiter–Xing points. J.
Local antithetic sampling with scrambled nets
Numerical experimentation with the more sophisticated and widely adopted Sobol sequences , shows that their effective thickness in (bulk) Ed does signiﬁcantly improve on the random-covering value, but it grows closer to the latter as d increases (see Table V and the left panel of Fig. 7).
Cover art: issues in the metric-guided and metric-less placement of random and stochastic template banks
TABLE V: Numerically determined effective thickness of Sobol quasirandom coverings of bulk Euclidean space (no boundary effects).
Cover art: issues in the metric-guided and metric-less placement of random and stochastic template banks
Sobol’ uses what is conceptually an n × ∞ matrix of values from the unit interval.
Consistency of Markov chain quasi-Monte Carlo on continuous state spaces
Sobol’ shows that the error converges as O(1/n) in the very special case where the transition probabilities are all rational numbers with denominator a power of 2.
Consistency of Markov chain quasi-Monte Carlo on continuous state spaces
Sobol’ and two anonymous reviewers for helpful comments.
Consistency of Markov chain quasi-Monte Carlo on continuous state spaces
We have investigated empirically the behaviour of two such sequences: the Sobol’ sequence, described in , and the Niederreiter base-two sequence, described in .
Multidimensional sampling for simulation and integration: measures, discrepancies, and quasi-random numbers
We have calculated the quadratic discrepancy for four different quasi-random generators: Richtmyer, van der Corput-Halton, Sobol’ and Niederreiter-basetwo, all from one to twenty dimensions.
Multidimensional sampling for simulation and integration: measures, discrepancies, and quasi-random numbers
The Sobol’ and Niederreiter programs were kindly provided by Paul Bratley and Bennet Fox.
Multidimensional sampling for simulation and integration: measures, discrepancies, and quasi-random numbers
Their Sobol’ program is implemented for up to 40 dimensions, and we have extended their Niederreiter-base-two programs to work up to 25 dimensions.
Multidimensional sampling for simulation and integration: measures, discrepancies, and quasi-random numbers
As an illustration, we give in ﬁgure 14 the discrepancy for the Sobol’ sequence in dimensions 9 to 17, as a function of the number of points.
Multidimensional sampling for simulation and integration: measures, discrepancies, and quasi-random numbers
We use the Monte Carlo (MC) technique (Podznyakov, Sobol, & Sunyaev 1983; Canﬁeld, Howard, & Liang 1987; Liang 1993; Hua, Kazanas, & Titarchuk 1997) to simulate relativistic photon transport.
Monte-Carlo simulations of thermal/nonthermal radiation from a neutron-star magnetospheric accretion shell
Pozdnyakov, L., Sobol, I., & Sunyaev, R., 1977, Sov.
The nature of the prompt X-ray and radio emission from SN2002ap
Typically, the maximum force is reduced by two orders of magnitude with respect to the initial Sobol sequence and provides a visually more regular particle distribution, see middle panel in Fig. 14.
Conservative, special-relativistic smoothed particle hydrodynamics
Particle distributions: initial, quasi-random Sobol sequence (left), after regularization sweeps (middle) and ﬁnal conﬁguration after relaxation (right).
Conservative, special-relativistic smoothed particle hydrodynamics
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