Výsledky vyhledávání - "Convex and Non-convex Optimization"

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  1. 1

    Convex and Non-Convex Optimization Methods for Machine Learning Autor Zohrizadeh, Fariba

    ISBN: 1392693918, 9781392693919
    Vydáno: ProQuest Dissertations & Theses 01.01.2019
    “…This dissertation is concerned with modeling fundamental and challenging machine learning tasks as convex/non-convex optimization problems and designing a…”
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    Dissertation
  2. 2

    Extended auxiliary problem principle to variational inequalities involving multi-valued operators Autor Kaplan, A., Tichatschke, R.

    ISSN: 0233-1934, 1029-4945
    Vydáno: Philadelphia Taylor & Francis Group 01.06.2004
    Vydáno v Optimization (01.06.2004)
    “…An extension of the auxiliary problem principle to variational inequalities with non-symmetric multi-valued operators in Hilbert spaces is studied. This…”
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    Journal Article
  3. 3

    Joint Maneuver and Beamforming Design for UAV-Enabled Integrated Sensing and Communication Autor Lyu, Zhonghao, Zhu, Guangxu, Xu, Jie

    ISSN: 1536-1276, 1558-2248
    Vydáno: New York IEEE 01.04.2023
    “…This paper studies the unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC), in which UAVs are dispatched as aerial…”
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    Journal Article
  4. 4

    Homogenous multi-agent optimization for process systems engineering problems with a case study of computer aided molecular design Autor Gebreslassie, Berhane H., Diwekar, Urmila M.

    ISSN: 0009-2509, 1873-4405
    Vydáno: United Kingdom Elsevier Ltd 23.02.2017
    Vydáno v Chemical engineering science (23.02.2017)
    “… (MINLP) in which solute distribution coefficient of a candidate solvent is maximized subject to structural feasibility, thermodynamic property and process constraints…”
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    Journal Article
  5. 5

    Control Theory-Inspired Acceleration of the Gradient-Descent Method: Centralized and Distributed Autor Chakrabarti, Kushal

    ISBN: 9798368483818
    Vydáno: ProQuest Dissertations & Theses 01.01.2022
    “… Particularly in electrical engineering, convex and non-convex optimization problems are well-known in signal processing, estimation, control, and machine learning research…”
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    Dissertation