Moozonian

About 0 results
AI Overview
Generating...
Sponsored • AdSense Integration Active
Corrected by Entity Network
arxiv.org arXiv
arxiv.org › abs › 2505.16286v2
Microwave Engineering of Tunable Spin Interactions with Superconducting Qubits
Quantum simulation has emerged as a powerful framework for investigating complex many - body phenomena. A key requirement for emulating these dynamics is the realization of fully controllable quantum ...
arxiv.org arXiv
arxiv.org › abs › 1909.10508v1
A tribute to Dick Askey
This is a small contribution to the (September 15, 2019) Liber Amicorum Richard "Dick" Allen Askey. At the end a positivity conjecture related to the First and Second Borwein Conjectures is offered......
arxiv.org arXiv
arxiv.org › abs › 1203.4322v1
A higher order Blokh-Zyablov propagation rule for higher order nets
Higher order nets were introduced by Dick as a generalisation of classical $(t,m,s)$-nets, which are point sets frequently used in quasi-Monte Carlo integration algorithms. Essential tools in finding ...
arxiv.org arXiv
arxiv.org › abs › 1203.5157v1
A characterization of Sobolev spaces on the sphere and an extension of Stolarsky's invariance principle to arbitrary smoothness
In this paper we study reproducing kernel Hilbert spaces of arbitrary smoothness on the sphere $\mathbb{S}^d \subset \mathbb{R}^{d+1}$. The reproducing kernel is given by an integral representation us...
arxiv.org arXiv
arxiv.org › abs › 1602.07363v1
Higher order Quasi-Monte Carlo integration for Bayesian Estimation
We analyze combined Quasi-Monte Carlo quadrature and Finite Element approximations in Bayesian estimation of solutions to countably-parametric operator equations with holomorphic dependence on the par...
arxiv.org arXiv
arxiv.org › abs › 1601.07281v2
Optimal $L_p$-discrepancy bounds for second order digital sequences
The $L_p$-discrepancy is a quantitative measure for the irregularity of distribution modulo one of infinite sequences. In 1986 Proinov proved for all $p>1$ a lower bound for the $L_p$-discrepancy of g...
arxiv.org arXiv
arxiv.org › abs › 1704.04998v1
Interval Arithmetic and Interval-Aware Operators for Genetic Programming
Symbolic regression via genetic programming is a flexible approach to machine learning that does not require up-front specification of model structure. However, traditional approaches to symbolic regr...
arxiv.org arXiv
arxiv.org › abs › 1301.6441v3
Construction of interlaced scrambled polynomial lattice rules of arbitrary high order
Higher order scrambled digital nets are randomized quasi-Monte Carlo rules which have recently been introduced in [J. Dick, Ann. Statist., 39 (2011), 1372--1398] and shown to achieve the optimal rate ...
arxiv.org arXiv
arxiv.org › abs › 1207.5189v2
Optimal $\mathcal{L}_2$ discrepancy bounds for higher order digital sequences over the finite field $\mathbb{F}_2$
We show that the $\mathcal{L}_2$ discrepancy of the explicitly constructed infinite sequences of points $(\boldsymbol{x}_0,\boldsymbol{x}_1, \boldsymbol{x}_2,...)$ in $[0,1)^s$ over $\mathbb{F}_2$ int...
arxiv.org arXiv
arxiv.org › abs › 1409.2180v2
Higher order Quasi-Monte Carlo integration for holomorphic, parametric operator equations
We analyze the convergence of higher order Quasi-Monte Carlo (QMC) quadratures of solution-functionals to countably-parametric, nonlinear operator equations with distributed uncertain parameters takin...