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Investigations on monotonicity in general Banach spaces

Investigations on monotonicity in general Banach spaces

Sorin-Mihai Grad (ORCID: 0000-0002-1139-7504)
  • Grant DOI 10.55776/M2045
  • Funding program Lise Meitner
  • Status ended
  • Start November 1, 2018
  • End November 30, 2020
  • Funding amount € 161,220
  • Project website

Disciplines

Mathematics (100%)

Keywords

    Monotone Operators, Monotone Inclusion Problems, Convex Optimization, Convex Analysis, Regularity Conditions, Primal-Dual Algorithms

Abstract Final report

With this project we intend to bring, by means of convex analysis, significant advances in the theory and applications of monotone operators defined on general Banach spaces. In particular we plan to provide improvements and extensions of classical results in this research field and new developments concerning the algorithmic approaches for solving monotone inclusion problems in Banach spaces. We propose a research plan structured in three main objectives, namely 1. investigations on monotonicity preserving operations in general Banach spaces; 2. inquiries on diagonal subdifferential operators via representative functions; 3. establishing new iterative methods for solving monotone inclusion problems in Banach spaces. In the first part of the project we plan to deal with monotone operators defined on general Banach spaces, in order to gain a deeper knowledge on their properties. We will investigate when do complex structures involving sums and compositions of monotone operators inherit the nice properties of their constituents. In particular we plan to thoroughly inspect some recent papers on Rockafellar`s conjecture, whose conclusions are highly contested in the community. The main tool in our investigations will be the representative functions, on which we expect new insights, too. A special and very intriguing class of monotone operators consists of the diagonal subdifferential operators. We plan to study them in this research project, too. Using the representative functions introduced earlier by the applicants, we expect to find new properties regarding domains, boundedness or surjectivity properties of this class of monotone operators. On the other hand, we plan to investigate which properties of the classical subdifferential are inherited by this class, too. The third major objective of this project concerns iterative methods for solving monotone inclusions in Banach spaces, i.e. problems of identifying a point in whose image set through a monotonicity preserving operation involving monotone operators lies a certain element. These contain as special cases many interesting classes of problems, in particular convex optimization ones. We expect to construct a new duality approach for monotone inclusions and to employ this for providing new primal-dual methods for solving monotone inclusions. Accelerations of these algorithms by means of inertial techniques will be investigated, too. The theoretical outcomes of this project are expected to bring new insights also in fields like convex optimization, equilibrium problems, variational inequalities, control theory or (partial) differential equations, while the algorithms will be employed on concrete applications arising from fields like finance mathematics, image processing or game theory.

As part of the project, new research results (algorithms for solving optimization problems, equivalent interpretations using dynamic systems and duality statements) were obtained.

Research institution(s)
  • Universität Wien - 100%
International project participants
  • Heinz Bauschke, University of British Columbia - Canada
  • Gabor Kassay, Babes-Bolyai University - Romania
  • Nicolas Hadjisawas, King Fahd University of Petroleum and Minerals - Saudi Arabia

Research Output

  • 78 Citations
  • 9 Publications
Publications
  • 2020
    Title New duality results for evenly convex optimization problems
    DOI 10.1080/02331934.2020.1756287
    Type Journal Article
    Author Fajardo M
    Journal Optimization
    Pages 1837-1858
    Link Publication
  • 2021
    Title Solving Mixed Variational Inequalities Beyond Convexity
    DOI 10.1007/s10957-021-01860-9
    Type Journal Article
    Author Grad S
    Journal Journal of Optimization Theory and Applications
    Pages 565-580
    Link Publication
  • 2020
    Title Inducing strong convergence of trajectories in dynamical systems associated to monotone inclusions with composite structure
    DOI 10.1515/anona-2020-0143
    Type Journal Article
    Author Bot R
    Journal Advances in Nonlinear Analysis
    Pages 450-476
    Link Publication
  • 2019
    Title A Survey on Proximal Point Type Algorithms for Solving Vector Optimization Problems
    DOI 10.1007/978-3-030-25939-6_11
    Type Book Chapter
    Author Grad S
    Publisher Springer Nature
    Pages 269-308
  • 2019
    Title A proximal method for solving nonlinear minmax location problems with perturbed minimal time functions via conjugate duality
    DOI 10.1007/s10898-019-00746-5
    Type Journal Article
    Author Grad S
    Journal Journal of Global Optimization
    Pages 121-160
    Link Publication
  • 2023
    Title Stochastic incremental mirror descent algorithms with Nesterov smoothing
    DOI 10.1007/s11075-023-01574-1
    Type Journal Article
    Author Bitterlich S
    Journal Numerical Algorithms
    Pages 351-382
    Link Publication
  • 2019
    Title Splitting Algorithms, Modern Operator Theory, and Applications
    DOI 10.1007/978-3-030-25939-6
    Type Book
    editors Bauschke H, Burachik R, Luke D
    Publisher Springer Nature
  • 2021
    Title An extension of the proximal point algorithm beyond convexity
    DOI 10.1007/s10898-021-01081-4
    Type Journal Article
    Author Grad S
    Journal Journal of Global Optimization
    Pages 313-329
    Link Publication
  • 2021
    Title Solving mixed variational inequalities beyond convexity
    Type Journal Article
    Author Felipe Lara
    Journal Journal of Optimization Theory and Applications

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