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  • SI: Recent Advanced Techniques for Nonlinear and Optimization Problems

    The special issue on "Recent Advanced techniques for nonlinear and Optimization Problems" focuses on the intersection of various techniques   for nonlinear, variational and Optimization Problems by exploring cutting-edge research in methods and applications. The area encompasses a broad spectrum of topics, ranging from nonlinear and optimization problems monitoring, and performance analysis to real-world applications in various domains such as industrial, financial, and engineering.  The main scope of this special issue is to provide a comprehensive platform for researchers and scientists to present original work, share insights, and contribute to the evolving landscape of nonlinear and optimization problems. The significance lies in advancing our understanding of techniques for nonlinear and optimization problems, fostering innovation on the subject, and addressing complex challenges across diverse fields.


    Topics of Interest: Contributions to this special issue may include, but are not limited to, the following topics:
    •    Derivative free-optimization and applications
    •    Multi-objective and inverse multi-objective optimization.
    •    Operator splitting methods
    •    Set Optimization
    •    Robust optimization
    •    Variational Analysis in Structured Optimization
    •    Inertial iterative techniques for fixed point, variational inequality, and optimization problems

    Guest Editors:

    • Qamrul Hasan Ansari, Department of Mathematics, Aligarh Muslim University, Aligarh 202002, India
    •   Daya  Ram Sahu, Department of Mathematics, Banaras Hindu University, Varanasi, 221005 India
    • Hong-Kun Xu, School of Science, Hangzhou Dianzi University, Hangzhou 310018, China
  • Special Issue: Optimization: Theory, Algorithms and Applications in Energy

    This special Issue is in honour of the 10th year anniversary of the Gaspard Monge Program in Optimization (PGMO) an industrially sponsored research program covering many different aspects of optimization theory. From an applicative viewpoint the program has, in particular, an interest in “energy related” problems. The latter, understood in a large sense, can be characterized by the presence of uncertainty, large scale, combinatorial aspects, nonsmoothness and non-convexity. The just mentioned features depending on the nature of the investigated models. Energy problems are of societal importance. As a result, the research in optimization carried out through PGMO can be understood to have real-life impact. In terms of mathematical optimization disciplines the scope of this SI is large as indeed a great many features can be found in problems from practice. We can thus cover:

    • Stochastic programming
    • Combinatorial optimization
    • Nonsmooth and variational analysis
    • Algorithmic developments
    • Decomposition approaches   


    Guest Editors:

           
    Submission deadline: 30 June, 2024

  • New Trends in Optimization, Control, and Their Applications: A Special Issue Dedicated to Boris Sh. Mordukhovich

    Guest Editors:
    Heinz Bauschke, University of British Columbia, heinz.bauschke@ubc.ca (this opens in a new tab)
    Giovanni Colombo, University of Padova, Italy, colombo@math.unipd.it (this opens in a new tab)
    René Henrion, Weierstrass Institute, henrion@wias-berlin.de (this opens in a new tab)
    Nguyen-Truc-Dao Nguyen, University of Michigan, nntdao@umich.edu (this opens in a new tab)

    Submission Deadline: January 15, 2024

  • Special Issue: Optimization, Control and Their Applications

    Professor Boris Teodorovich Polyak was born on May 4, 1935 and passed away on February 3, 2023. This SI is dedicated to his memory and celebrates his fundamental achievements in Optimization, Control, and Their Applications. Professor Polyak was a world leader in these domains being a founder of several scientific schools. In particular, he was the first who thought on acceleration of the Gradient Method by suggesting a momentum idea (Heavy Ball Method).  He proposed several variants of the subgradient method, which form the basis of the modern theory of Nonsmooth Optimization.  His interpretation of Modified Lagrangians paved a way for proper understanding of this technique. Several, by now classical, notions of modern Optimization, such as, uniformly convex functions, gradient-dominated functions, sharp minimum, and many more, were proposed in his papers.  Finally, his famous book “Introduction to Optimization” (1983) fixed the state of art for the first period in the development of Optimization Theory and highlighted the most interesting directions for further research.

    Guest Editors:
    Boris Mordukhovich, Wayne State University, boris@math.wayne.edu (this opens in a new tab)
    Arkadi Nemirovski, Georgia Institute of Technology, nemirovs@isye.gatech.edu (this opens in a new tab)
    Yurii Nesterov, Catholic University of Louvain, Belgium, nesterov@core.ucl.ac.be (this opens in a new tab)

    Submission deadline:  September 30, 2023

  • EUROPT 2022 Special Issue – Modern challenges in continuous optimization

    We are pleased to announce this Special Issue of the Journal of Optimization Theory and Applications (JOTA) related to the 19th Workshop on Advance in Continuous Optimization (EUROPT 2022) which highlighted timely topics and challenges in continuous optimization through 13 thematic streams. The special issue aims at highlighting significant developments that have been presented at the workshop.
    At least one author of each paper must have attended "EUROPT 2022" at the Universidade Nova de Lisboa, July 29-30, 2022.
    The short program of the workshop is available at: https://sites.fct.unl.pt/europt2022/files/europt2022-program.pdf (this opens in a new tab)

    Guest Editors:
    Paula Alexandra Amaral, paca@fct.unl.pt (this opens in a new tab)
    Giancarlo Bigi, giancarlo.bigi@unipi.it (this opens in a new tab)
    Miguel F. Anjos, Miguel.F.Anjos@ed.ac.uk (this opens in a new tab)
    Sonia Cafieri, sonia@recherche.enac.fr (this opens in a new tab)

    Submission Deadline: 31 March 2023

  • Special Issue on "Conic Optimization and Interior Point Methods: Theory, Computations, and Applications"


    Guest Editors:

    Tibor Illés, Corvinus University of Budapest, Hungary 
    Florian Jarre, University of Düsseldorf, Germany
    Etienne de Klerk, University of Tilburg, The Netherlands 
    Goran Lesaja, Georgia Southern University, USA and US Naval Academy, USA


    We are pleased to announce the Special Issue of the Journal of Optimization Theory and Applications (JOTA) in honor of Professor Cornelis (Kees) Roos’ 80th and Professor Florian A. Potra’s 70th Birthday. The Special Issue is also related to the US Naval Academy Optimization & OR Conference that was organized June 2-4, 2021 to mark the occasion of Prof. Roos’ and Prof. Potra’s birthdays.
     

    We invite contributions within the broad scope of the Special Issue. The contributions that are directly or indirectly related to the work of Prof. Roos and Prof. Potra are especially encouraged.
     

    Submission Deadline: January 31, 2022

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