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Showing 1-20 of 121 results
  1. Epi/Hypo-Convergence of Bifunctions on General Domains and Approximations of Quasi-Variational Problems

    Epi/hypo-convergence is extended to the case of bifunctions defined on general domains. Its basic characterizations are established. Variational...

    H. T. H. Diem, P. Q. Khanh in Set-Valued and Variational Analysis
    Article 30 January 2020
  2. Approximations of Quasi-Equilibria and Nash Quasi-Equilibria in Terms of Variational Convergence

    Various types of variational convergence of functions and bifunctions are applied to study global approximations of a quasi-equilibrium problem and a...

    Huynh Thi Hong Diem, Phan Quoc Khanh in Set-Valued and Variational Analysis
    Article 08 December 2023
  3. Consistency of statistical estimators of solutions to stochastic optimization problems

    We consider the asymptotic behavior of the infimal values and the statistical estimators of the solutions to a general stochastic optimization...

    Huynh Thi Hong Diem in Journal of Global Optimization
    Article 23 April 2022
  4. Radial duality part II: applications and algorithms

    The first part of this work established the foundations of a radial duality between nonnegative optimization problems, inspired by the work of...

    Benjamin Grimmer in Mathematical Programming
    Article 26 May 2023
  5. Radial duality part I: foundations

    Renegar (SIAM J Optim 26(4):2649–2676, https://doi.org/10.1137/15M1027371 2016) introduced a novel approach to transforming generic conic...

    Benjamin Grimmer in Mathematical Programming
    Article 10 August 2023
  6. Global Approximations of Vector Optimization Problems in Terms of Variational Convergence

    Global approximations of scalar optimization problems in terms of variational convergence have been studied for several decades. However, there are...

    Huynh Thi Hong Diem, Phan Quoc Khanh in Journal of Optimization Theory and Applications
    Article 06 June 2024
  7. Locally bounded variations epigraph property of the value function to infinite horizon optimal control problems under state constraints

    This paper addresses infinite horizon control problems under state constraints and some regularity aspects of the associated value function through...

    Article 09 May 2024
  8. TASEP and generalizations: method for exact solution

    The explicit biorthogonalization method, developed in [ 24 ] for continuous time TASEP, is generalized to a broad class of determinantal measures which...

    Konstantin Matetski, Daniel Remenik in Probability Theory and Related Fields
    Article 29 April 2022
  9. Applications to Problems of Optimization and Equilibrium

    This chapter addresses applications of convex analysis to various aspects of optimization and equilibria. They include the existence of global...
    Boris Mordukhovich, Nguyen Mau Nam in An Easy Path to Convex Analysis and Applications
    Chapter 2023
  10. Set-Convergence and Its Application: A Tutorial

    Optimization problems, generalized equations, and a multitude of other variational problems invariably lead to the analysis of sets and set-valued...

    Johannes O. Royset in Set-Valued and Variational Analysis
    Article 23 October 2020
  11. Feedback Strategies in a Nonzero-Sum Differential Game of Special Type

    Abstract

    The paper deals with the construction of universal closed-loop strategies for two-person nonzero-sum differential game of a special type....

    E. A. Kolpakova in Automation and Remote Control
    Article 01 May 2021
  12. Convex and Lower-Semicontinuous Functions

    In this chapter, one section is about convex functions and their properties. Another section is about lower-semicontinuous functions and their...
    Adina Chirilă, Marin Marin, Andreas Öchsner in Distribution Theory Applied to Differential Equations
    Chapter 2021
  13. The landscape of the proximal point method for nonconvex–nonconcave minimax optimization

    Minimax optimization has become a central tool in machine learning with applications in robust optimization, reinforcement learning, GANs, etc. These...

    Benjamin Grimmer, Haihao Lu, ... Vahab Mirrokni in Mathematical Programming
    Article 01 December 2022
  14. PRELUDE

    Optimization technology helps us identify the best predictions and decisions in a wide range of applications. This is made possible by the...
    Johannes O. Royset, Roger J-B Wets in An Optimization Primer
    Chapter 2021
  15. GAMES AND MINSUP PROBLEMS

    Multiple agents, each minimizing its own objective function, might be linked through common resources or prices in a market place and this leads to...
    Johannes O. Royset, Roger J-B Wets in An Optimization Primer
    Chapter 2021
  16. Functional Analysis over Cones

    This chapter covers important items from convex analysis and its modern extensions. In this chapter, we discuss properties of linear topological...
    Alfred Göpfert, Hassan Riahi, ... Constantin Zǎlinescu in Variational Methods in Partially Ordered Spaces
    Chapter 2023
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