Results 11 to 20 of about 86,877,734 (157)

Necessary Optimality Conditions for Non-Smooth Minimax Problems [PDF]

open access: yesZeitschrift für Analysis und ihre Anwendungen, 1993
Under a suitable assumption necessary optimality conditions are derived for non-smooth minimax problems involving infinitely many functions. The results obtained here generalize some necessary optimality conditions for mathematical programming and minimax problems.
Luu, Do Van, Oettli, Werner
openaire   +2 more sources

Domain‐adapted driving scene understanding with uncertainty‐aware and diversified generative adversarial networks

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Autonomous vehicles are required to operate in an uncertain environment. Recent advances in computational intelligence techniques make it possible to understand driving scenes in various environments by using a semantic segmentation neural network, which assigns a class label to each pixel.
Yining Hua   +4 more
wiley   +1 more source

Minimax optimal control problems for an extensible beam equation with uncertain initial velocity

open access: yesBoundary Value Problems, 2023
This paper is devoted to the problem of minimax optimal control problems of an extensible beam equation with distributed controls and initial velocity disturbances (or noises).
Jin-soo Hwang
doaj   +1 more source

The Sufficiency of Solutions for Non-smooth Minimax Fractional Semi-Infinite Programming with (BK,ρ)−Invexity

open access: yesMathematics, 2023
Minimax fractional semi-infinite programming is an important research direction for semi-infinite programming, and has a wide range of applications, such as military allocation problems, economic theory, cooperative games, and other fields.
Hong Yang, Angang Cui
doaj   +1 more source

Sufficient optimality condition and duality of nondifferentiable minimax ratio constraint problems under ( p , r )- ρ -( η , θ )-invexity

open access: yesControl and Cybernetics, 2022
Abstract There are several classes of decision-making problems that explicitly or implicitly prompt fractional programming problems. Portfolio selection problems, agricultural planning, information transfer, numerical analysis of stochastic processes, and resource allocation problems are just a few examples.
Navdeep Kailey   +2 more
openaire   +1 more source

Necessary Optimality Conditions for Nonsmooth Minimax Problems [PDF]

open access: yes, 1992
Under a suitable assumption necessary optimality conditions are derived for nonsmooth minimax problems involving infinitely many functions. The results obtained here generalize some necessary optimality conditions for mathematical programming and minimax
Luu, Do Van, Oettli, Werner
core   +1 more source

On Nonsmooth Semi-Infinite Minimax Programming Problem with (Φ,ρ)-Invexity

open access: yesAbstract and Applied Analysis, 2014
We are interested in a nonsmooth minimax programming Problem (SIP). Firstly, we establish the necessary optimality conditions theorems for Problem (SIP) when using the well-known Caratheodory's theorem.
X. L. Liu   +3 more
doaj   +1 more source

Convergence Analysis of Randomized SGDA under NC-PL Condition for Stochastic Minimax Optimization Problems

open access: yes, 2023
We introduce a new analytic framework to analyze the convergence of the Randomized Stochastic Gradient Descent Ascent (RSGDA) algorithm for stochastic minimax optimization problems. Under the so-called NC-PL condition on one of the variables, our analysis improves the state-of-the-art convergence results in the current literature and hence broadens the
Liu, Zehua   +3 more
openaire   +2 more sources

Maximum principle and second-order conditions for minimax problems of optimal control

open access: yesJournal of Optimization Theory and Applications, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arutyunov A.V.   +2 more
openaire   +3 more sources

A Minimax-Program-Based Approach for Robust Fractional Multi-Objective Optimization

open access: yesMathematics
In this paper, by making use of some advanced tools from variational analysis and generalized differentiation, we establish necessary optimality conditions for a class of robust fractional minimax programming problems.
Henan Li, Zhe Hong, Do Sang Kim
doaj   +1 more source

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