Results 31 to 40 of about 24,603 (322)
D-Optimal Designs with Hadamard Matrix
Journal of Mathematical Analysis and Applications, 1993 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chow, K.L., Lii, K.S.
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Algorithms for the minimum spanning tree problem with resource allocation
Operations Research Perspectives, 2016 We formulate the minimum spanning tree problem with resource allocation (MSTRA) in two ways, as discrete and continuous optimization problems (d-MSTRA/c-MSTRA), prove these to be NP-hard, and present algorithms to solve these problems to optimality.
Seiji Kataoka, Takeo Yamada
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Optimization of SLS Process Parameters Using D-Optimality [PDF]
, 2003 Solid Freeform Fabrication (SFF) refers to a group of processes that manufacture parts of arbitrarily complex geometry without tooling. Currently, the operation of most SFF machines requires skilled operators with expertise in choosing process ...
Crawford, Richard H. +2 more
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Entropy, 2022 Increasing the autonomy of multi-agent systems or swarms for exploration missions requires tools for efficient information gathering. This work studies this problem from theoretical and experimental perspectives and evaluates an exploration system for ...
Christoph Manss +2 more
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New Results Regarding the Construction Method for D‑optimal Chemical Balance Weighing Designs
Acta Universitatis Lodziensis. Folia Oeconomica, 2020 We study an experiment in which we determine unknown measurements of p objects in n weighing operations according to the model of the chemical balance weighing design. We determine a design which is D‑optimal. For the construction of the D‑optimal design,
Bronisław Ceranka, Małgorzata Graczyk
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Bayesian D-Optimal Choice Designs for Mixtures [PDF]
Journal of the Royal Statistical Society Series C: Applied Statistics, 2014 SummaryConsumer products and services can often be described as mixtures of ingredients. Examples are the mixture of ingredients in a cocktail and the mixture of different components of travel time (e.g. in-vehicle and out-of-vehicle travel time) in a transportation setting.
Ruseckaite, Aiste +2 more
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Sparse kernel density estimation technique based on zero-norm constraint [PDF]
, 2010 A sparse kernel density estimator is derived based on the zero-norm constraint, in which the zero-norm of the kernel weights is incorporated to enhance model sparsity.
Chen, S, Harris, C J, Hong, Xia
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Designs for the simultaneous inference of concentration–response curves
BMC Bioinformatics, 2023 Background An important problem in toxicology in the context of gene expression data is the simultaneous inference of a large number of concentration–response relationships.
Leonie Schürmeyer +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background While Wilms tumor (WT) typically has a favorable prognosis, relapsed cases—especially those with high‐risk histology—remain therapeutically challenging after intensive frontline therapy. The combination of vincristine and irinotecan has demonstrated activity in pediatric solid tumors, and pazopanib, a multi‐targeted tyrosine kinase ...
Maria Debora De Pasquale +6 more
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Entropy, 2014 System identification, in practice, is carried out by perturbing processes or plants under operation. That is why in many industrial applications a plant-friendly input signal would be preferred for system identification.
Wiktor Jakowluk
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