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{{about|sign sequences in mathematics|sequences of roadside signs|Burma-Shave}} Such sequences are commonly studied in [[discrepancy theory]]. ...

...f Hlawka–Zaremba|Hlawka–Zaremba formula]] in the theory of low-discrepancy sequences. | title = Good lattice points, discrepancy, and numerical integration ...

===Sampling sequences=== ...is is then known as the [[quasi-Monte Carlo method]]. Some low-discrepancy sequences commonly used in sensitivity analysis include the [[Sobol sequence|Sobol’ s ...

...simple index calculations. It has applications in the generation of [[low-discrepancy sequence]]s and in the evaluation of [[fast Fourier transform]]s. Each permutation in this sequence can be generated by concatenating two sequences of numbers: the previous permutation, with its values doubled, and the same ...

.../> whereas using certain deterministic point sets such as low-discrepancy sequences or lattices recovers a Bayesian alternative to [[Quasi-Monte Carlo method|q ...key to the computation of kernel-based distances such as the maximum mean discrepancy. The latter is commonly called the initial error since it provides an upper ...

methods of decoding [[Low-density parity-check code|LDPC codes]] using ...apter=Deterministic methods for stochastic computing using low-discrepancy sequences |date=2018-11-05|pages=1–8|location=New York, NY, USA|publisher=ACM|doi=10. ...

| title = Proceedings. Compression and Complexity of SEQUENCES 1997 (Cat. No.97TB100171) | title = Low discrepancy sets yield approximate min-wise independent permutation families ...

...rity between their respective results while also highlighting a remarkable discrepancy, whereby – in the standard version of the SAIM – the model's focus is mainl ...generative model with hidden states that model control, policies (control sequences) that minimise variational free energy lead to high utility states.<ref>{{c ...