Algorithm 247: Radical-inverse quasi-random point sequence

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Algorithm 247: Radical-inverse quasi-random point sequence

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Communications of the ACM archive
Volume 7 , Issue 12 (December 1964) table of contents

Pages: 701 - 702

Year of Publication: 1964

ISSN:0001-0782

Author

J. H. Halton

Brookhaven National Laboratory, Upton, NY; and Univ. of Colorado, Boulder

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 7, Downloads (12 Months): 47, Citation Count: 10

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cited by collaborative colleagues

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CITED BY 10

	Adrian Secord , Wolfgang Heidrich , Lisa Streit, Fast primitive distribution for illustration, Proceedings of the 13th Eurographics workshop on Rendering, June 26-28, 2002, Pisa, Italy
	Bennett L. Fox, Algorithm 647: Implementation and Relative Efficiency of Quasirandom Sequence Generators, ACM Transactions on Mathematical Software (TOMS), v.12 n.4, p.362-376, Dec. 1986
	Alexander Keller, Instant radiosity, Proceedings of the 24th annual conference on Computer graphics and interactive techniques, p.49-56, August 1997
	Richard Gillibrand , Peter Longhurst , Kurt Debattista , Alan Chalmers, Cost prediction for global illumination using a fast rasterised scene preview, Proceedings of the 4th international conference on Computer graphics, virtual reality, visualisation and interaction in Africa, January 25-27, 2006, Cape Town, South Africa
	Parag Tole , Fabio Pellacini , Bruce Walter , Donald P. Greenberg, Interactive global illumination in dynamic scenes, ACM Transactions on Graphics (TOG), v.21 n.3, July 2002
	Hongmei Chi , Edward L. Jones, Research Note: Generating parallel quasirandom sequences via randomization, Journal of Parallel and Distributed Computing, v.67 n.7, p.876-881, July, 2007
	Andrew Willmott, Fast object distribution, ACM SIGGRAPH 2007 sketches, August 05-09, 2007, San Diego, California
	Christoph Schlier, On scrambled Halton sequences, Applied Numerical Mathematics, v.58 n.10, p.1467-1478, October, 2008
	Haiyan Cheng , Adrian Sandu, Uncertainty quantification and apportionment in air quality models using the polynomial chaos method, Environmental Modelling & Software, v.24 n.8, p.917-925, August, 2009
	Haiyan Cheng , Adrian Sandu, Efficient uncertainty quantification with the polynomial chaos method for stiff systems, Mathematics and Computers in Simulation, v.79 n.11, p.3278-3295, July, 2009

Collaborative Colleagues:

J. H. Halton: colleagues

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