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Solving equilibrium problems under constraints is an important problem in optimization and optimal control. In this context an important practical challenge is the efficient incorporation of constraints. We develop a continuous-time method…

最优化与控制 · 数学 2024-03-21 Siqi Qu , Mathias Staudigl

We examine a class of stochastic differential inclusions involving multiscale effects designed to solve a class of generalized variational inequalities. This class of problems contains constrained convex non-smooth optimization problems,…

最优化与控制 · 数学 2026-01-23 D. Russell Luke , Johannes-Carl Schnebel , Mathias Staudigl , Juan Peypouquet , Siqi Qu

We consider hierarchical variational inequality problems, or more generally, variational inequalities defined over the set of zeros of a monotone operator. This framework includes convex optimization over equilibrium constraints and…

最优化与控制 · 数学 2026-01-07 Daniel Cortild , Meggie Marschner , Mathias Staudigl

We consider nested variational inequalities con- sisting in a (upper-level) variational inequality whose feasible set is given by the solution set of another (lower-level) variational inequality. This class of hierarchical equilibrium…

最优化与控制 · 数学 2025-08-29 Meggie Marschner , Mathias Staudigl

We propose a slowly damped inertial primal-dual dynamical system controlled by a Tikhonov regularization term, where the inertial term is introduced only for the primal variable, for the linearly constrained convex optimization problem in a…

最优化与控制 · 数学 2024-06-24 Ting-Ting Zhu , Rong Hu , Ya-Ping Fang

In a Hilbert framework, for convex differentiable optimization, we consider accelerated gradient methods obtained by combining temporal scaling and averaging techniques with Tikhonov regularization. We start from the continuous steepest…

最优化与控制 · 数学 2022-11-21 Hedy Attouch , Zaki Chbani , Hassan Riahi

In a Hilbert space, we propose a class of general mixed-order primal-dual dynamical systems with Tikhonov regularization for a convex optimization problem with linear equality constraints. The proposed dynamical system is characterized by…

最优化与控制 · 数学 2025-07-31 Honglu Li , Rong Hu , Xin He , Yibin Xiao

In a real Hilbert space setting, we investigate the asymptotic behavior of the solutions of the classical Arrow-Hurwicz differential system combined with Tikhonov regularizing terms. Under some newly proposed conditions on the Tikhonov…

最优化与控制 · 数学 2025-09-03 Fouad Battahi , Zaki Chbani , Simon K. Niederländer , Hassan Riahi

In this work we investigate dynamical systems designed to approach the solution sets of inclusion problems involving the sum of two maximally monotone operators. Our aim is to design methods which guarantee strong convergence of…

最优化与控制 · 数学 2020-08-31 Radu Ioan Boţ , Sorin-Mihai Grad , Dennis Meier , Mathias Staudigl

In this paper we consider the computation of approximate solutions for inverse problems in Hilbert spaces. In order to capture the special feature of solutions, non-smooth convex functions are introduced as penalty terms. By exploiting the…

数值分析 · 数学 2015-06-18 Qinian Jin , Xiliang Lu

We investigate the existence and uniqueness of (locally) absolutely continuous trajectories of a penalty term-based dynamical system associated to a constrained variational inequality expressed as a monotone inclusion problem. Relying on…

最优化与控制 · 数学 2015-03-09 Radu Ioan Bot , Ernö Robert Csetnek

In this paper, we consider the asymptotical regularization with convex constraints for nonlinear ill-posed problems. The method allows to use non-smooth penalty terms, including the L1-like and the total variation-like penalty functionals,…

数值分析 · 数学 2022-03-23 Min Zhong , Wei Wang

In this paper, we introduce, in a Hilbert space setting, a second order dynamical system with asymptotically vanishing damping and vanishing Tikhonov regularization that approaches a multiobjective optimization problem with convex and…

最优化与控制 · 数学 2025-06-30 Radu Ioan Bot , Konstantin Sonntag

The authors study Tikhonov regularization of linear ill-posed problems with a general convex penalty defined on a Banach space. It is well known that the error analysis requires smoothness assumptions. Here such assumptions are given in…

数值分析 · 数学 2019-08-19 Bernd Hofmann , Stefan Kindermann , Peter Mathé

In a separable Hilbert space, we study the minimization problem of a convex smooth function with Lipschitz continuous gradient whose evaluations are corrupted by random noise. To this end, we associate a stochastic inertial system that…

最优化与控制 · 数学 2025-12-18 Chiara Schindler

To solve convex optimization problems with a noisy gradient input, we analyze the global behavior of subgradient-like flows under stochastic errors. The objective function is composite, being equal to the sum of two convex functions, one…

最优化与控制 · 数学 2025-06-05 Rodrigo Maulen-Soto , Jalal Fadili , Hedy Attouch

We perform an asymptotic analysis of general particle systems arising in collective behavior in the limit of large self-propulsion and friction forces. These asymptotics impose a fixed speed in the limit, and thus a reduction of the…

偏微分方程分析 · 数学 2012-03-01 Mihai Bostan , J. A. Carrillo

We consider an optimal control problem for an abstract nonlinear dissipative evolution equation. The differential constraint is penalized by augmenting the target functional by a nonnegative global-in-time functional which is null-minimized…

最优化与控制 · 数学 2019-10-23 Lorenzo Portinale , Ulisse Stefanelli

We introduce and investigate the asymptotic behaviour of the trajectories of a second order dynamical system with Tikhonov regularization for solving a monotone equation with single valued, monotone and continuous operator acting on a real…

最优化与控制 · 数学 2024-11-27 Ernö Robert Csetnek , Szilárd Csaba László

In this paper, in the setting of Hilbert spaces, we consider a Tikhonov regularized second-order plus first-order primal-dual dynamical system with asymptotically vanishing damping for a linear equality constrained convex optimization…

最优化与控制 · 数学 2024-04-23 Ting Ting Zhu , Rong Hu , Ya Ping Fang
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