2012
DOI: 10.1007/978-3-642-27440-4_35
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Random and Deterministic Digit Permutations of the Halton Sequence

Abstract: The Halton sequence is one of the classical low-discrepancy sequences. It is e¤ec-tively used in numerical integration when the dimension is small, however, for larger dimensions, the uniformity of the sequence quickly degrades. As a remedy, generalized (scrambled) Halton sequences have been introduced by several researchers since the 1970s. In a generalized Halton sequence, the digits of the original Halton sequence are permuted using a carefully selected permutation. Some of the permutations in the literatur… Show more

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Cited by 14 publications
(15 citation statements)
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“…Table 7 shows the Sobol' indicesS with respect to groups of parameters for all models. The Sobol' indices are computed using a sample size of 20,000, and the price of the derivative is computed using a randomly permuted random-start Halton sequence ( [19]) of sample size 10,000. …”
Section: Numerical Resultsmentioning
confidence: 99%
“…Table 7 shows the Sobol' indicesS with respect to groups of parameters for all models. The Sobol' indices are computed using a sample size of 20,000, and the price of the derivative is computed using a randomly permuted random-start Halton sequence ( [19]) of sample size 10,000. …”
Section: Numerical Resultsmentioning
confidence: 99%
“…Figure 3 plots European call option estimates using crude Monte Carlo and the martingale control method, against the sample size . The plot on the left uses a pseudorandom sequence (Mersenne twister, [14]), and the plot on the right uses a random-start randomly permuted Halton sequence (Rasrap; [15,16]). Table 2…”
Section: Martingale Control Variate Methodsmentioning
confidence: 99%
“…This approach can also be applied to permuted Halton sequences (see [20]), which improves the uniformity of each Halton sequence in high dimensions. In this paper, we follow [25] and choose these permutations at random. We call this sequence random-start randomly permuted (Rasrap) Halton sequence.…”
Section: Definition 5 (Van Der Corput Sequence In Base P)mentioning
confidence: 99%
“…The solution to (14) is given by The random variables ξ 1 and ξ 2 are presumed to be uniformly distributed with means 25 and 36, and with coefficient of variance CoV = 5%, i.e., (ξ 1 , ξ 2 ) ∼ (U (24.91, 25.09), U (35.91, 36.09)). We solve (14) numerically with the Fourier spectral method in space and the fourth order Runge-Kutta scheme in time (see [29]).…”
Section: Korteweg-de Vries Equation With Stochastic Initial Conditionmentioning
confidence: 99%