Investigations on monotonicity in general Banach spaces
Investigations on monotonicity in general Banach spaces
Disciplines
Mathematics (100%)
Keywords
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Monotone Operators,
Monotone Inclusion Problems,
Convex Optimization,
Convex Analysis,
Regularity Conditions,
Primal-Dual Algorithms
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.
- Universität Wien - 100%
Research Output
- 78 Citations
- 9 Publications
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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