Measures minimizing regularized dispersion

DOI10.1007/s10915-018-0817-4zbMath1502.62081OpenAlexW2889452710WikidataQ129270725 ScholiaQ129270725MaRDI QIDQ1999876

Luc Pronzato, Anatoly A. Zhigljavsky

Publication date: 27 June 2019

Published in: Journal of Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10915-018-0817-4

zbMATH Keywords

potential theorydispersionoptimal designspace-filling design

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Monte Carlo methods (65C05) Pluriharmonic and plurisubharmonic functions (31C10) Algorithms for approximation of functions (65D15)

Related Items (2)

Bayesian Quadrature, Energy Minimization, and Space-Filling Design ⋮ Incremental space-filling design based on coverings and spacings: improving upon low discrepancy sequences

Cites Work

• Exploratory designs for computational experiments
• Design of computer experiments: space filling and beyond
• Monotonic convergence of a general algorithm for computing optimal designs
• Numerical estimation of a probability measure
• A vertex-exchange-method in D-optimal design theory
• Design of experiments in nonlinear models. Asymptotic normality, optimality criteria and small-sample properties
• Extremal measures maximizing functionals based on simplicial volumes
• A delimitation of the support of optimal designs for Kiefer's \(\phi _p\)-class of criteria
• Minimization of functions having Lipschitz continuous first partial derivatives
• An analysis of approximations for maximizing submodular set functions—I
• Variational Calculus in the Space of Measures and Optimal Design
• The Sequential Generation of $D$-Optimum Experimental Designs
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Measures minimizing regularized dispersion