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Physical Review Fluids 2018年第12期3卷 123302-123302页

作者： A. Vázquez-Quesada Pep Español M. Ellero Zienkiewicz Centre for Computational Engineering (ZCCE) Swansea University Bay Campus Swansea SA1 8EN United Kingdom Department of Theoretical Condensed Matter Physics Universidad Autónoma de Madrid Madrid 28049 Spain Departamento de Física Fundamental UNED Apartado 60141 Madrid 28080 Spain Basque Center for Applied Mathematics (BCAM) Alameda de Mazarredo 14 Bilbao 48400 Spain IKERBASQUE Basque Foundation for Science Calle de María Díaz de Haro 3 Bilbao 48013 Spain

Analytical results for the apparent slip between two spheres in a simple biviscous model of a shear-thinning fluid are presented. Velocity profiles and apparent slip lengths along the surfaces are analyzed in order to characterize the physical mechanism. It is shown that in this non-Newtonian model, the effect of shear thinning limited to high-shear rates in the interstitial regions between close spheres can be alternatively interpreted as the onset of an apparent shear-rate-dependent slippage effect. The results of the theory compare well with experiments from the literature showing the presence of surface slip on a particle approaching a planar wall. In terms of implications for suspensions rheology, the present results bridge the “hidden” solvent shear-thinning theory [Vázquez-Quesada et al., Phys. Rev. Lett. 117, 108001 (2016)] with slip-based models presented recently [Kroupa et al., Phys. Chem. Chem. Phys. 19, 5979 (2017)] as a possible explanation for the mechanism behind the shear thinning in hard-sphere non-Brownian suspensions.

关键词： Shear thinning Wall slip Suspensions

Shape evolution of neutron-rich Mo106,108,110 isotopes in the triaxial degree of freedom

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Physical Review C 2020年第4期101卷 044311-044311页

作者： J. Ha T. Sumikama F. Browne N. Hinohara A. M. Bruce S. Choi I. Nishizuka S. Nishimura P. Doornenbal G. Lorusso P.-A. Söderström H. Watanabe R. Daido Z. Patel S. Rice L. Sinclair J. Wu Z. Y. Xu A. Yagi H. Baba N. Chiga R. Carroll F. Didierjean Y. Fang N. Fukuda G. Gey E. Ideguchi N. Inabe T. Isobe D. Kameda I. Kojouharov N. Kurz T. Kubo S. Lalkovski Z. Li R. Lozeva H. Nishibata A. Odahara Zs. Podolyák P. H. Regan O. J. Roberts H. Sakurai H. Schaffner G. S. Simpson H. Suzuki H. Takeda M. Tanaka J. Taprogge V. Werner O. Wieland Department of Physics and Astronomy Seoul National University Seoul 08826 Republic of Korea RIKEN Nishina Center 2-1 Hirosawa Wako-shi Saitama 351-0198 Japan Department of Physics Tohoku University Aoba Sendai Miyagi 980-8578 Japan School of Computing Engineering and Mathematics University of Brighton Brighton BN2 4GJ United Kingdom Center for Computational Sciences University of Tsukuba Tsukuba 305-8577 Japan Faculty of Pure and Applied Sciences University of Tsukuba Tsukuba 305-8571 Japan Department of Physics University of Surrey Guildford GU2 7XH United Kingdom National Physical Laboratory Teddington Middlesex TW11 0LW United Kingdom IRCNPC School of Physics and Nuclear Energy Engineering Beihang University Beijing 100191 China Department of Physics Osaka University Toyonaka Osaka 560-0043 Japan Department of Physics University of York Heslington York YO10 5DD United Kingdom Department of Physics Peking University Beijing 100871 China Department of Physics University of Tokyo Hongo Bunkyo-ku Tokyo 113-0033 Japan Department of Physics University of Hong Kong Pokfulam Road Hong Kong IPHC CNRS/IN2P3 Université de Strasbourg 67037 Strasbourg France LPSC Université Grenoble-Alpes CNRS/IN2P3 F-38026 Grenoble Cedex France ILL 38042 Grenoble Cedex France GSI Helmholtzzentrum für Schwerionenforschung GmbH 64291 Darmstadt Germany Department of Physics University of Sofia 1164 Sofia Bulgaria CSNSM CNRS/IN2P3 Université Paris-Sud F-91405 Orsay Campus France Research Center for Nuclear Physics (RCNP) Osaka University Ibaraki Osaka 567-0047 Japan Departamento de Física Teórica Universidad Autónoma de Madrid E-28049 Madrid Spain Instituto de Estructura de la Materia CSIC E-28006 Madrid Spain A.W. Wright Nuclear Structure Laboratory Yale University New Haven Connecticut 06520 USA Institut für Kernphysik Technische Universität Darmstadt 64289 Darmstadt Germany INFN Sezione di Milano I-20133 Milano Italy

Background: Neutron-rich nuclei with mass number between 100 and 110 attract much attention, since several kinds of shapes, such as spherical, prolate, oblate, and triaxial shapes, are predicted. In particular, for neutron-rich Mo isotopes, different models predict different magnitudes and rigidity of triaxial deformation. Previous interpretations of experimental results based solely on low-lying 22+ states are insufficient to distinguish between the rigid triaxial shape, γ vibration, or γ-soft rotor.

关键词： Beta decay Collective levels Nuclear structure & decays Nucleon distribution 90 ≤ A ≤ 149

EMPRESS. IX. Extremely Metal-Poor Galaxies are Very Gas-Rich Dispersion-Dominated Systems: Will JWST Witness Gaseous Turbulent High-z Primordial Galaxies?

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arXiv 2022年

作者： Isobe, Yuki Ouchi, Masami Nakajima, Kimihiko Ozaki, Shinobu Bouché, Nicolas F. Wise, John H. Xu, Yi Emsellem, Eric Kusakabe, Haruka Hattori, Takashi Nagao, Tohru Chiaki, Gen Fukushima, Hajime Harikane, Yuichi Hayashi, Kohei Hirai, Yutaka Kim, Ji Hoon Maseda, Michael V. Nagamine, Kentaro Shibuya, Takatoshi Sugahara, Yuma Yajima, Hidenobu Aoyama, Shohei Fujimoto, Seiji Fukushima, Keita Hatano, Shun Inoue, Akio K. Ishigaki, Tsuyoshi Kawasaki, Masahiro Kojima, Takashi Komiyama, Yutaka Koyama, Shuhei Koyama, Yusei Lee, Chien-Hsiu Matsumoto, Akinori Mawatari, Ken Moriya, Takashi J. Motohara, Kentaro Murai, Kai Nishigaki, Moka Onodera, Masato Ono, Yoshiaki Rauch, Michael Saito, Tomoki Sasaki, Rin Suzuki, Akihiro Takeuchi, Tsutomu T. Umeda, Hiroya Umemura, Masayuki Watanabe, Kuria Yabe, Kiyoto Zhang, Yechi Institute for Cosmic Ray Research The University of Tokyo 5-1-5 Kashiwanoha Chiba Kashiwa277-8582 Japan Department of Physics Graduate School of Science The University of Tokyo 7-3-1 Hongo Bunkyo Tokyo113-0033 Japan National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka Tokyo181-8588 Japan University of Tokyo Chiba Kashiwa277-8583 Japan Univ Lyon Univ Lyon1 ENS de Lyon CNRS Centre de Recherche Astrophysique de Lyon UMR5574 Saint-Genis-LavalF-69230 France Center for Relativistic Astrophysics School of Physics Georgia Institute of Technology AtlantaGA30332 United States Department of Astronomy Graduate School of Science The University of Tokyo 7-3-1 Hongo Bunkyo Tokyo113-0033 Japan European Southern Observatory Karl-Schwarzschild-Straße 2 Garching85748 Germany Observatoire de Genéve Université de Genéve 51 Ch. des Maillettes Versoix1290 Switzerland 650 North A'ohoku Place HiloHI96720 United States Research Center for Space and Cosmic Evolution Ehime University Bunkyo-cho 2-5 Ehime Matsuyama790-8577 Japan Center for Computational Sciences University of Tsukuba Ten-nodai 1-1-1 Tsukuba Ibaraki305-8577 Japan Department of Physics and Astronomy University College London Gower Street LondonWC1E 6BT United Kingdom National Institute of Technology Ichinoseki College Hagisho Ichinoseki021-8511 Japan Astronomical Institute Tohoku University 6-3 Aoba Aramaki Aoba-ku Miyagi Sendai980-8578 Japan Department of Physics and Astronomy University of Notre Dame 225 Nieuwland Science Hall Notre DameIN46556 United States Astronomy Program Department of Physics and Astronomy Seoul National University 1 Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of SNU Astronomy Research Center Seoul National University 1 Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of Department of Astronomy University of Wisconsin-Madison 475 N. Charter Street MadisonWI53706 United States Theoretical Astrophysics Department of Earth & Space S

We present kinematics of 6 local extremely metal-poor galaxies (EMPGs) with low metallicities (0.016 − 0.098 Z☉) and low stellar masses (104.7 − 107.6M☉). Taking deep medium-high resolution (R ∼ 7500) integral-field spectra with 8.2-m Subaru, we resolve the small inner velocity gradients and dispersions of the EMPGs with Hα emission. Carefully masking out sub-structures originated by inflow and/or outflow, we fit 3-dimensional disk models to the observed Hα flux, velocity, and velocity-dispersion maps. All the EMPGs show rotational velocities (vrot) of 5-23 km s−1 smaller than the velocity dispersions (σ0) of 17-31 km s−1, indicating dispersion-dominated (vrot/σ0 = 0.29−0.80 gas 0.9 − 1.0. Comparing our results with other Hα kinematics studies, we find that vrot/σ0 decreases and fgas increases with decreasing metallicity, decreasing stellar mass, and increasing specific star-formation rate. We also find that simulated high-z (z ∼ 7) forming galaxies have gas fractions and dynamics similar to the observed EMPGs. Our EMPG observations and the simulations suggest that primordial galaxies are gas-rich dispersion-dominated systems, which would be identified by the forthcoming James Webb Space Telescope (JWST) observations at z ∼ 7. Copyright © 2022, The Authors. All rights reserved.

关键词： Galaxies

The multiset dimension of graphs

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arXiv 2017年

作者： Simanjuntak, Rinovia Siagian, Presli Vetrík, Tomáš Institut Teknologi Bandung Combinatorial Mathematics Research Group Jl Ganesa 10 Bandung40132 Indonesia Institut Teknologi Bandung Master Program in Mathematics Jl Ganesa 10 Bandung40132 Indonesia University of the Free State Department of Mathematics and Applied Mathematics P. O. Box 339 Bloemfontein9300 South Africa

We introduce a variation of metric dimension, called the multiset dimension. The representation multiset of a vertex v with respect to W (which is a subset of the vertex set of a graph G), rm(v|W), is defined as a multiset of distances between v and the vertices in W. If rm(u|W) ≠ rm(v|W) for every pair of distinct vertices u and v, then W is called an m-resolving set of G. If G has an m-resolving set, then the cardinality of a smallest m-resolving set is called the multiset dimension of G, denoted by md(G). If G does not contain an m-resolving set, we write md(G) = ∞. In this paper we present basic results on the multiset dimension. We obtain some (sharp) bounds for multiset dimension of arbitrary graphs in term of its metric dimension, order, or diameter. We provide some necessary conditions for a graph to have finite multiset dimension, with an example of an infinite family of graphs where those necessary conditions are also sufficient. We also show that the multiset dimension of any graph other than a path is at least 3 and finally we provide two families of graphs having the multiset dimension 3.05C35, 05C12 Copyright © 2017, The Authors. All rights reserved.

关键词： Graphic methods

Stability of Inverse Transport Equation in Diffusion Scaling And Fokker-Planck Limit

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arXiv 2017年

作者： Chen, Ke LI, Qin Wang, Li Mathematics Department University of Wisconsin-Madison 480 Lincoln Dr. MadisonWI53705 United States Mathematics Department and Wisconsin Institute of Discovery University of Wisconsin-Madison 480 Lincoln Dr. MadisonWI53705 United States Department of Mathematics Computational and Data-Enabled Science and Engineering Program State University of New York at Buffalo 244 Mathematics Building BuffaloNY14206 United States

We consider the inverse problem of reconstructing the scattering and absorption coefficients using boundary measurements for a time dependent radiative transfer equation (RTE). As the measurement is mostly polluted by errors, both experimental and computational, an important question is to quantify how the error is amplified in the process of reconstruction. In the forward setting, the solution to the RTE behaves differently in different regimes, and the stability of the inverse problem vary accordingly. In particular, we consider two scalings in this paper. The first one concerns with a diffusive scaling whose macroscopic limit is a diffusion equation. In this case, we showed, following the similar approach as in [Chen, Li and Wang, arXiv:1703.00097], that the stability degrades when the limit is taken. The second one considers a highly forward peaked scattering, wherein the scattering operator is approximated by a Fokker-Planck operator as a limit. In this case, we showed that a fully recover of the scattering coefficient is less possible in the limit, whereas obtaining a rescaled version of the scattering coefficient becomes more practice friendly. Copyright © 2017, The Authors. All rights reserved.

关键词： Inverse problems

Constraining the Baryonic Feedback with Cosmic Shear Using the DES Year-3 Small-Scale Measurements

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arXiv 2022年

作者： Chen, Angela Aricò, G. Huterer, D. Angulo, R. Weaverdyck, N. Friedrich, O. Secco, L.F. Hernández-Monteagudo, C. Alarcon, A. Alves, O. Amon, A. Andrade-Oliveira, F. Baxter, E. Bechtol, K. Becker, M.R. Bernstein, G.M. Blazek, J. Brandao-Souza, A. Bridle, S.L. Camacho, H. Campos, A. Carnero Rosell, A. Carrasco Kind, M. Cawthon, R. Chang, C. Chen, R. Chintalapati, P. Choi, A. Cordero, J. Crocce, M. Pereira, M.E.S. Davis, C. DeRose, J. Di Valentino, E. Diehl, H.T. Dodelson, S. Doux, C. Drlica-Wagner, A. Eckert, K. Eifler, T.F. Elsner, F. Elvin-Poole, J. Everett, S. Fang, X. Ferté, A. Fosalba, P. Gatti, M. Gaztanaga, E. Giannini, G. Gruen, D. Gruendl, R.A. Harrison, I. Hartley, W.G. Herner, K. Hoffmann, K. Huang, H. Huff, E.M. Jain, B. Jarvis, M. Jeffrey, N. Kacprzak, T. Krause, E. Kuropatkin, N. Leget, P.-F. Lemos, P. Liddle, A.R. MacCrann, N. McCullough, J. Muir, J. Myles, J. Navarro-Alsina, A. Omori, Y. Pandey, S. Park, Y. Porredon, A. Prat, J. Raveri, M. Refregier, A. Rollins, R.P. Roodman, A. Rosenfeld, R. Ross, A.J. Rykoff, E.S. Samuroff, S. Sánchez, C. Sanchez, J. Sevilla-Noarbe, I. Sheldon, E. Shin, T. Troja, A. Troxel, M.A. Tutusaus, I. Varga, T.N. Wechsler, R.H. Yanny, B. Yin, B. Zhang, Y. Zuntz, J. Aguena, M. Annis, J. Bacon, D. Bertin, E. Bocquet, S. Brooks, D. Burke, D.L. Carretero, J. Conselice, C. Costanzi, M. da Costa, L.N. De Vicente, J. Desai, S. Doel, P. Ferrero, I. Flaugher, B. Frieman, J. García-Bellido, J. Gerdes, D.W. Giannantonio, T. Gschwend, J. Gutierrez, G. Hinton, S.R. Hollowood, D.L. Honscheid, K. James, D.J. Kuehn, K. Lahav, O. March, M. Marshall, J.L. Melchior, P. Menanteau, F. Miquel, R. Mohr, J.J. Morgan, R. Paz-Chinchón, F. Pieres, A. Sanchez, E. Smith, M. Suchyta, E. Tarle, G. Thomas, D. To, C. Department of Physics University of Michigan Ann ArborMI48109 United States UTIAS The University of Tokyo Chiba Kashiwa277-8583 Japan Institute for Computational Science University of Zurich Winterthurerstrasse 190 Zurich8057 Switzerland Paseo Manuel de Lardizabal 4 Guipuzkoa Donostia-San Sebastián20018 Spain Departamento de Física Universidad de Zaragoza Pedro Cerbuna 12 Zaragoza50009 Spain IKERBASQUE Basque Foundation for Science Bilbao48013 Spain Lawrence Berkeley National Laboratory 1 Cyclotron Road BerkeleyCA94720 United States Kavli Institute for Cosmology University of Cambridge Madingley Road CambridgeCB3 0HA United Kingdom Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Department of Astrophysics Research Instituto de Astrofísica de Canarias CVía Láctea sn Tenerife La LagunaE-38205 Spain Departamento de Astrofísica Universidad de La Laguna Avenida Francisco Sánchez sn Tenerife La LagunaE-38205 Spain Argonne National Laboratory 9700 South Cass Avenue Lemont IL60439 United States Laboratório Interinstitucional de e-Astronomia - LIneA Rua Gal. José Cristino 77 RJ Rio de Janeiro20921-400 Brazil Kavli Institute for Particle Astrophysics & Cosmology Stanford University P. O. Box 2450 StanfordCA94305 United States Institute for Astronomy University of Hawai’i 2680 Woodlawn Drive HonoluluHI96822 United States Physics Department University of Wisconsin-Madison 2320 Chamberlin Hall 1150 University Avenue MadisonWI53706-1390 United States Department of Physics and Astronomy University of Pennsylvania PhiladelphiaPA19104 United States Department of Physics Northeastern University BostonMA02115 United States Observatoire de Sauverny Versoix 1290 Switzerland Instituto de Física Gleb Wataghin Universidade Estadual de Campinas Campinas SP 13083-859 Brazil Jodrell Bank Center for Astrophysics School of Physics and Astronomy University of Manchester Oxford Road Manc

We use the small scales of the Dark Energy Survey (DES) Year-3 cosmic shear measurements, which are excluded from the DES Year-3 cosmological analysis, to constrain the baryonic feedback. To model the baryonic feedback, we adopt a baryonic correction model and use the numerical package Baccoemu to accelerate the evaluation of the baryonic nonlinear matter power spectrum. We design our analysis pipeline to focus on the constraints of the baryonic suppression effects, utilizing the implication given by a principal component analysis on the Fisher forecasts. Our constraint on the baryonic effects can then be used to better model and ameliorate the effects of baryons in producing cosmological constraints from the next generation large-scale structure surveys. We detect the baryonic suppression on the cosmic shear measurements with a ∼ 2σ significance. The characteristic halo mass for which half of the gas is ejected by baryonic feedback is constrained to be Mc > 1013.2h−1Mo (95% C.L.). The best-fit baryonic suppression is ∼ 5% at k = 1.0Mpc h−1 and ∼ 15% at k = 5.0Mpc h−1. Our findings are robust with respect to the assumptions about the cosmological parameters, specifics of the baryonic model, and intrinsic alignments. Copyright © 2022, The Authors. All rights reserved.

关键词： Principal component analysis

Sampling Architectures for Ultra-Wideband Signals

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Sampling Architectures for Ultra-Wideband Signals

International Conference on Sampling Theory and Applications

作者： Stephen D. Casey Howard S. Cohl Department of Mathematics and Statistics American University Applied and Computational Mathematics Division National Institute of Standards and Technology

ISBN: (纸本)9781538615669

Ultra-wideband (UWB) signal processing is a technology that has tremendous potential to develop advances in communication and information technology. However, it also presents challenges to the signal processing community, and, in particular, to sampling theory. This article outlines a UWB signal processing system via a basis projection and a basis system designed specifically for UWB signals. The method first windows the signal and then decomposes the signal into a basis via a continuous-time inner product operation, computing the basis coefficients in parallel. The windows are key, and we develop windows that have variable partitioning length, variable roll-off and variable smoothness. They preserve orthogonality of any orthonormal system between adjacent blocks. In this paper, we develop new windows, and give an outline for a new architecture for the projection. We then use this projection with a basis system designed to work with UWB signals, implementing modified Gegenbauer functions designed specifically for these signals.

关键词： Ultra wideband technologies signals FENSTER windows windows signal processing PROJECTION Basis Outlines new buildings orthogonality

International Scientific Collaboration Is Needed to Bridge Science to Society: USERN2020 Consensus Statement

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SN comprehensive clinical medicine 2021年第8期3卷 1699-1703页

作者： Sara Momtazmanesh Amene Saghazadeh Juan Carlos Aldave Becerra Kiarash Aramesh Francisco J Barba Federico Bella Anna Blakney Massimo Capaccioli Rossella Castagna Umberto Crisanti Tigran Davtyan Tommaso Dorigo Julie Ealy Mehdi Farokhnia Giulia Grancini Manoj Gupta Amine Harbi Wojciech Krysztofiak Arutha Kulasinghe Chi-Ming Lam Alexander Leemans Brian Lighthill Vittorio Limongelli Paola Lopreiato Livio Luongo Christopher Ryan Maboloc Reza Malekzadeh Orlando Costa Gomes Milos Milosevic Jan Nouwen Delfín Ortega-Sánchez John Pawelek Surapati Pramanik Seeram Ramakrishna Ortwin Renn Serena Sanseviero Daniel Sauter Michael Schreiber Frank W Sellke Mohammad-Ali Shahbazi Natalya Shelkovaya Wayne H Slater Didier Snoeck Slawomir Sztajer Lucina Q Uddin Liz Veramendi-Espinoza Ricardo Vinuesa Walter C Willett Dongrui Wu Karolina Żyniewicz Nima Rezaei http://***. School of Medicine Tehran University of Medical Sciences Tehran Iran. Research Center for Immunodeficiencies Children's Medical Center Hospital Tehran University of Medical Sciences Tehran Iran. Division of Allergy and Immunology Hospital Nacional Edgardo Rebagliati Martins Lima Lima Peru. Department of Biology and Health Sciences College of Science and Health Professions Edinboro University of Pennsylvania Edinboro USA. Nutrition and Food Science Area Preventive Medicine and Public Health Food Science Toxicology and Forensic Medicine Department Faculty of Pharmacy Universitat de València Avda. Vicent Andrés Estellés S/n València 46100 Burjassot Spain. Department of Applied Science and Technology - DISAT Politecnico di Torino Corso Duca degli Abruzzi 24 10129 Torino Italy. Department of Infectious Diseases Imperial College London Norfolk Place London W2 1PG UK. Physics Department "Ettore Pancini" University of Naples Federico II Monte Sant'Angelo Campus via Cinthia 21 80121 Naples Italy. Institute for Bioengineering of Catalonia (IBEC) Barcelona Institute for Science and Technology Barcelona 08028 Spain. Latvian Institute of Organic Synthesis (LIOS) Riga LV-1006 Latvia. Psychotherapist in Private Practice Canterbury Kent England. Analytical Laboratory Branch Scientific Centre of Drug and Medical Technology Expertise after Academician E. Gabrielyan CJSC Yerevan 0051 Armenia. INFN Sezione di Padova Padova Italy. Penn State Lehigh Valley 2809 Saucon Valley Road Center Valley PA 18034 USA. National Health Institutes of Health (NIH) Intramural Research Program (IRP) Bethesda USA. Department of Chemistry & INSTM University of Pavia Via Taramelli 14 Pavia I-27100 Italy. Department of Mechanical Engineering National University of Singapore Singapore Singapore. Souk Ahras University Souk Ahras Algeria. The Institute of Philosophy University of Szczecin Ul. Krakowska 71-79 Szczecin 71-004 Poland. Translational Research Institute Woolloongabba

Scientific collaboration has been a critical aspect of the development of all fields of science, particularly clinical medicine. It is well understood that myriads of benefits can be yielded by interdisciplinary and international collaboration. For instance, our rapidly growing knowledge on COVID-19 and vaccine development could not be attained without expanded collaborative activities. However, achieving fruitful results requires mastering specific tactics in collaborative efforts. These activities can enhance our knowledge, which ultimately benefits society. In addition to tackling the issue of the invisible border between different countries, institutes, and disciplines, the border between the scientific community and society needs to be addressed as well. International and transdisciplinary approaches can potentially be the best solution for bridging science and society. The Universal Scientific Education and Research Network (USERN) is a non-governmental, non-profit organization and network to promote professional, scientific research and education worldwide. The fifth annual congress of USERN was held in Tehran, Iran, in a hybrid manner on November 7-10, 2020, with key aims of bridging science to society and facilitating borderless science. Among speakers of the congress, a group of top scientists unanimously agreed on The USERN 2020 consensus, which is drafted with the goal of connecting society with scientific scholars and facilitating international and interdisciplinary scientific activities in all fields, including clinical medicine.

关键词： Collaboration International Policy Research Science Society

Optimal Learning for Sequential Decision Making for Expensive Cost Functions with Stochastic Binary Feedbacks

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arXiv 2017年

作者： Wang, Yingfei Wang, Chu Powell, Warren Department of Computer Science Princeton University PrincetonNJ08540 United States Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States Department of Operations Research and Financial Engineering Princeton University PrincetonNJ08544 United States

We consider the problem of sequentially making decisions that are rewarded by "successes" and "failures" which can be predicted through an unknown relationship that depends on a partially controllable vector of attributes for each instance. The learner takes an active role in selecting samples from the instance pool. The goal is to maximize the probability of success in either offline (training) or online (testing) phases. Our problem is motivated by real-world applications where observations are time consuming and/or expensive. We develop a knowledge gradient policy using an online Bayesian linear classifier to guide the experiment by maximizing the expected value of information of labeling each alternative. We provide a finite-time analysis of the estimated error and show that the maximum likelihood estimator based produced by the KG policy is consistent and asymptotically normal. We also show that the knowledge gradient policy is asymptotically optimal in an offline setting. This work further extends the knowledge gradient to the setting of contextual bandits. We report the results of a series of experiments that demonstrate its efficiency. Copyright © 2017, The Authors. All rights reserved.

关键词： Maximum likelihood estimation

5th International Conference on Variable Neighborhood Search (ICVNS'17)

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Electronic Notes in Discrete mathematics 2018年 66卷 1-5页

作者： Vitor Nazário Coelho Haroldo Gambini Santos Igor Machado Coelho Puca Huachi Vaz Penna Thays A. Oliveira Marcone Jamilson Freitas Souza Angelo Sifaleras Institute of Computer Science Universidade Federal Fluminense Niterói Brazil Grupo da Causa Humana Ouro Preto Brazil Department of Computing Universidade Federal de Ouro Preto Ouro Preto Brazil Institute of Mathematics Statitics Universidade Estadual do Rio de Janeiro Rio de Janeiro Brazil Graduate Program of the Department of Engineering and Information and Communication Technologies Universitat Pompeu Fabra Barcelona Spain Department of Applied Informatics School of Information Sciences University of Macedonia 156 Egnatia Str. Thessaloniki 54636 Greece

This volume presents selected, peer-reviewed, short papers that were accepted for presentation in the 5th International Conference on Variable Neighborhood Search (ICVNS'17) which was held in Ouro Preto, Brazil, d... 详细信息

关键词： Metaheuristics Variable Neighborhood Search Discrete Optimization Nonlinear optimization