Affiliations: [a] Department of Chemistry, Memorial University of Newfoundland, NL, Canada | [b] Department of Physics and Physical Oceanography, Memorial University of Newfoundland, NL, Canada | [c] Eötvös Loránd University of Budapest, Budapest, Hungary | [d] Department of Chemistry and Biochemistry, Babes-Bolyai University, Cluj-Napoca, Romania
Correspondence:
[*]
Corresponding author: Paul G. Mezey, Department of Chemistry, Memorial University of Newfoundland, 283 Prince Philip Drive, St. John's, NL, A1B 3X7, Canada. Tel.: +1 709 737 8768; Fax: +1 709 737 3702; E-mail:paul.mezey@gmail.com
Abstract: If the computational cost grows rapidly by some high power of the size of
the range of variables considered for some computational problem, then it is
worthwhile to consider breaking up the problem to a set of smaller
coordinate ranges and find a reasonably accurate way to combine these
results. Here one such method is described, using cubic grids to break up
the problem to smaller ones and using a set of 8 different such cubic grids
which are eventually combined taking into accounts some of the expected
accuracy variations which depend on the choice of each actual cubic grid.
Keywords: Model building from fuzzy fragments, multiple tiling approximation, trigonometric central enhancement
