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10 QUnif<br />

QUnif<br />

Quasi Randum Numbers via Halton Sequences<br />

Description<br />

Usage<br />

<strong>The</strong>se functions provide quasi random numbers or space filling or low discrepancy sequences in the<br />

p-dimensional unit cube.<br />

sHalton(n.max, n.min = 1, base = 2, leap = 1)<br />

QUnif (n, min = 0, max = 1, n.min = 1, p, leap = 1)<br />

Arguments<br />

n.max<br />

n.min<br />

maximal (sequence) number.<br />

minimal sequence number.<br />

n number of p-dimensional points generated in QUnif. By default, n.min =<br />

1, leap = 1 and the maximal sequence number is n.max = n.min +<br />

(n-1)*leap.<br />

base<br />

integer ≥ 2: <strong>The</strong> base with respect to which the Halton sequence is built.<br />

min, max lower and upper limits of the univariate intervals. Must be of length 1 or p.<br />

p<br />

Value<br />

Note<br />

leap<br />

dimensionality of space (the unit cube) in which points are generated.<br />

integer indicating (if > 1) if the series should be leaped, i.e., only every leapth<br />

entry should be taken.<br />

sHalton(n,m) returns a numeric vector of length n-m+1 of values in [0, 1].<br />

QUnif(n, min, max, n.min, p=p) generates n-n.min+1 p-dimensional points in [min, max] p<br />

returning a numeric matrix with p columns.<br />

For leap Kocis and Whiten recommend values of L = 31, 61, 149, 409, and particularly the L =<br />

409 for dimensions up to 400.<br />

Author(s)<br />

Martin Maechler<br />

References<br />

James Gentle (1998) Random Number Generation and Monte Carlo Simulation; sec. 6.3. Springer.<br />

Kocis, L. and Whiten, W.J. (1997) Computationsl Investigations of Low-Discrepancy Sequences.<br />

ACM Transactions of Mathematical Software 23, 2, 266–294.

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