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相关论文: Characterizations of the Aubin Property of the Sol…

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We consider existence and uniqueness issues for the initial value problem of parabolic equations $\partial_{t} u = {\rm div} A \nabla u$ on the upper half space, with initial data in $L^p$ spaces. The coefficient matrix $A$ is assumed to be…

偏微分方程分析 · 数学 2025-04-29 Pascal Auscher , Sylvie Monniaux , Pierre Portal

This paper is devoted to the study of tilt stability of local minimizers, which plays an important role in both theoretical and numerical aspects of optimization. This notion has been comprehensively investigated in the unconstrained…

最优化与控制 · 数学 2018-09-12 Matúš Benko , Helmut Gfrerer , Boris S. Mordukhovich

In this paper, we investigate the following nonlinear Schr\"odinger equation with Neumann boundary conditions: \begin{equation*} \begin{cases} -\Delta u+ \lambda u= f(u) & {\rm in} \,~ \Omega,\\ \displaystyle\frac{\partial u}{\partial…

偏微分方程分析 · 数学 2025-03-21 Xiaojun Chang , Vicenţiu D. Rădulescu , Yuxuan Zhang

This work concerns the local convergence theory of Newton and quasi-Newton methods for convex-composite optimization: minimize f(x):=h(c(x)), where h is an infinite-valued proper convex function and c is C^2-smooth. We focus on the case…

最优化与控制 · 数学 2018-06-19 James V. Burke , Abraham Engle

In this article, we follow the arguments in a paper of Y-T. Siu to study the effective termination of Kohn's algorithm for special domains in $\mathbb{C}^{3}$. We make explicit the effective constants and generic conditions that appear…

复变函数 · 数学 2017-03-23 Wei Guo Foo

The linear programming (LP) approach is, together with value iteration and policy iteration, one of the three fundamental methods to solve optimal control problems in a dynamic programming setting. Despite its simple formulation,…

系统与控制 · 电气工程与系统科学 2023-10-31 Lucia Falconi , Andrea Martinelli , John Lygeros

In this paper, we develop a unified framework able to certify both exponential and subexponential convergence rates for a wide range of iterative first-order optimization algorithms. To this end, we construct a family of parameter-dependent…

最优化与控制 · 数学 2018-02-26 Mahyar Fazlyab , Alejandro Ribeiro , Manfred Morari , Victor M. Preciado

Nonlinear constrained optimization has a wide range of practical applications. In this paper, we consider nonlinear optimization with inequality constraints. The interior point method is considered to be one of the most powerful algorithms…

最优化与控制 · 数学 2026-03-17 Yonggang Pei , Jingyi Guo , Detong Zhu

The present paper is devoted to the study of classes of mappings with non--bounded characteristics of quasiconformality. It is proved that the normal families of mappings distorting the families of mappings in ${\Bbb R}^n$ by special way,…

复变函数 · 数学 2013-09-04 Evgeny Sevost'yanov

Augmented Lagrangian Methods (ALMs) are widely employed in solving constrained optimizations, and some efficient solvers are developed based on this framework. Under the quadratic growth assumption, it is known that the dual iterates and…

最优化与控制 · 数学 2024-10-31 Feng-Yi Liao , Lijun Ding , Yang Zheng

In this work we describe an Adaptive Regularization using Cubics (ARC) method for large-scale nonconvex unconstrained optimization using Limited-memory Quasi-Newton (LQN) matrices. ARC methods are a relatively new family of optimization…

最优化与控制 · 数学 2022-04-21 Jarad Forristal , Joshua Griffin , Wenwen Zhou , Seyedalireza Yektamaram

Unsupervised feature selection has drawn wide attention in the era of big data since it is a primary technique for dimensionality reduction. However, many existing unsupervised feature selection models and solution methods were presented…

最优化与控制 · 数学 2024-03-26 Yan Li , Defeng Sun , Liping Zhang

This paper studies a fundamental problem in convex optimization, which is to solve semidefinite programming (SDP) with high accuracy. This paper follows from the existing robust SDP-based interior point method analysis due to [Huang, Jiang,…

量子物理 · 物理学 2023-02-08 Baihe Huang , Shunhua Jiang , Zhao Song , Runzhou Tao , Ruizhe Zhang

Computational modeling of pattern formation in nonequilibrium systems is a fundamental tool for studying complex phenomena in biology, chemistry, materials science and engineering. The pursuit for theoretical descriptions of some among…

斑图形成与孤子 · 物理学 2022-02-08 D. L. Coelho , E. Vitral , J. Pontes , N. Mangiavacchi

The nonsmooth composite matrix optimization problem (CMatOP), in particular, the matrix norm minimization problem, is a generalization of the matrix conic programming problem with wide applications in numerical linear algebra, computational…

最优化与控制 · 数学 2019-08-13 Ying Cui , Chao Ding

This paper proposes a novel technique for the approximation of strong solutions $u \in C(\overline{\Omega}) \cap W^{2,n}_\mathrm{loc}(\Omega)$ to uniformly elliptic linear PDE of second order in nondivergence form with continuous leading…

数值分析 · 数学 2026-04-10 Ngoc Tien Tran

A dynamic method to solve the Non-linear Programming (NLP) problem with Equality Constraints (ECs) and Inequality Constraints (IECs) is proposed. Inspired by the Lyapunov continuous-time dynamics stability theory in the control field, the…

最优化与控制 · 数学 2021-10-04 Sheng Zhang , Fei Liao , Yi-Nan Kong , Kai-Feng He

We establish certain fine properties for functions of bounded $\mathscr A$-variation known in the classical $BV$ setting. Here, $\mathscr A$ is a $k$th order constant-coefficient homogeneous linear differential operator with a…

偏微分方程分析 · 数学 2025-01-07 Adolfo Arroyo-Rabasa , Anna Skorobogatova

We investigate the existence and multiplicity of weak solutions for a nonlinear Kirchhoff type quasilinear elliptic system on the whole space $\mathbb{R}^N$. We assume that the nonlinear term satisfies the locally super-$(m_1,m_2)$…

偏微分方程分析 · 数学 2022-05-26 Cuiling Liu , Xingyong Zhang

We study the following one-dimensional cubic nonlinear Schr\"{o}dinger system: \[ u_i''+2\Big(\sum_{k=1}^Nu_k^2\Big)u_i=-\mu_iu_i \ \,\ \mbox{in}\, \ \mathbb{R} , \ \ i=1, 2, \cdots, N, \] where $\mu_1\leq\mu_2\leq\cdots\leq\mu_N<0$ and…

偏微分方程分析 · 数学 2026-04-16 Yujin Guo , Yong Luo , Juncheng Wei
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