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Journal of Applied and Numerical Optimization最新文献

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Existence and stability to vector optimization problems via improvement sets 基于改进集的向量优化问题的存在性与稳定性
Pub Date : 2023-08-01 DOI: 10.23952/jano.5.2023.2.03
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引用次数: 0
The boosted proximal difference-of-convex algorithm 增强的近端凸差分算法
Pub Date : 2023-08-01 DOI: 10.23952/jano.5.2023.2.05
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引用次数: 0
A note on the subdifferential of convex multi-composite functionals 关于凸多重复合泛函的次微分的注记
Pub Date : 2023-08-01 DOI: 10.23952/jano.5.2023.2.07
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引用次数: 0
Multi-step actor-critic framework for reinforcement learning in continuous control 连续控制中强化学习的多步行为者-批判框架
Pub Date : 2023-08-01 DOI: 10.23952/jano.5.2023.2.01
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引用次数: 0
Model predictive control of discrete-time linear systems by ADMM with applications to turbofan engine control problems 离散线性系统的ADMM模型预测控制及其在涡扇发动机控制中的应用
Pub Date : 2023-08-01 DOI: 10.23952/jano.5.2023.2.02
Jiao Teng, DU Xian, Lei Wang, Xinwei Wang, Junmei Wu
. In this paper, we consider optimal control problems with linear discrete state space model, which originate from a class of turbofan engines. The optimization problem associated with each moving horizon estimation (MHE) in classical model predictive control (MPC) is a quadratic programming (QP) problem, and the general QP algorithms does not exploit the structural features of the turbofan engine itself to improve the computational efficiency of the algorithm. In the framework of model predictive control, the turbofan engine model makes the rolling optimization subproblem exhibit a sparse structure. Based on this feature, the alternating direction method of multipliers (ADMM) is employed to solve each optimization sub-problem and design an improved MPC-ADMM algorithm for solving this class of optimal control problems. The simulation results are compared with the MPC-QP algorithm by numerical examples to show the effectiveness and superiority of the novel algorithm.
. 本文研究了一类涡扇发动机的线性离散状态空间模型的最优控制问题。经典模型预测控制(MPC)中与各运动水平估计(MHE)相关的优化问题是一个二次规划(QP)问题,一般的QP算法没有利用涡扇发动机本身的结构特征来提高算法的计算效率。在模型预测控制框架下,涡扇发动机模型使滚动优化子问题呈现稀疏结构。基于这一特点,采用乘法器交替方向法求解各优化子问题,并设计了一种改进的MPC-ADMM算法求解这类最优控制问题。通过数值算例将仿真结果与MPC-QP算法进行了比较,验证了该算法的有效性和优越性。
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引用次数: 0
Iterative solutions of split fixed point and monotone inclusion problems in Hilbert spaces 希尔伯特空间中分裂不动点和单调包含问题的迭代解
Pub Date : 2023-08-01 DOI: 10.23952/jano.5.2023.2.06
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引用次数: 1
IdentifyMix: An efficient two-stage learning approach to combating label noise IdentifyMix:一个有效的两阶段学习方法来对抗标签噪声
Pub Date : 2023-08-01 DOI: 10.23952/jano.5.2023.2.04
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引用次数: 0
Fenchel subdifferential operators: A characterization without cyclic monotonicity Fenchel次微分算子:无循环单调性的表征
Pub Date : 2022-12-05 DOI: 10.23952/jano.5.2023.1.12
J. E. Mart'inez-Legaz
Fenchel subdifferential operators of lower semicontinuous proper convex functions on real Banach spaces are classically characterized as those operators that are maximally cyclically monotone or, equivalently, maximally monotone and cyclically monotone. This paper presents an alternative characterization, which does not involve cyclic monotonicity. In the case of subdifferential operators of sublinear functions, the new characterization substantially simplifies. Dually, the new characterization of normal cone operators is very simple, too.
实数Banach空间上的下半连续固有凸函数的Fenchel次微分算子被经典地刻画为极大循环单调的算子,或者等价地,极大单调和循环单调的算子。本文提出了另一种不涉及循环单调性的表征方法。在次线性函数的次微分算子的情况下,新的表征实质上简化了。另外,正则锥算子的新性质也很简单。
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引用次数: 1
On the lower semicontinuity and subdifferentiability of the value function for conic linear programming problems 二次线性规划问题值函数的下半连续性和次可微性
Pub Date : 2022-05-19 DOI: 10.23952/jano.5.2023.1.09
C. Zălinescu
Lemma 1 from the paper [N.E. Gretsky, J.M. Ostroy, W.R. Zame, Subdifferentiability and the duality gap, Positivity 6: 261–274, 2002] asserts that the value function v of an infinite dimensional linear programming problem in standard form is lower semicontinuous whenever v is proper and the involved spaces are normed vector spaces. In this note one shows that this statement is false even in finite-dimensional spaces, one provides an example of linear programming problem in Hilbert spaces whose (proper) value function is not lower semicontinuous (hence it is not subdifferentiable) at any point in its domain, one shows that the restriction of the value function to its domain in Kretschmer’s gap example is not bounded on any neighborhood of any point of the domain, and discuss other assertions done in the same paper.
引理1从论文[N.E.]Gretsky, J.M. Ostroy, W.R. Zame,次可微性与对偶间隙[j],《正性》第6期:261-274,2002]证明了无限维线性规划问题的标准形式的值函数v是下半连续的,且所涉及的空间是赋范向量空间。在这报告中显示,这个声明是假的,即使在有限维空间,线性规划问题提供了一个示例之一的希尔伯特空间(适当的)值函数不是低半连续(因此它不是subdifferentiable)在任何时候在它的领域,一个显示的值函数的限制其域在克雷奇默的差距是没有边界的任何点的邻域的域,并讨论其他断言在同一篇论文中完成的。
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引用次数: 1
The fixed point property of quasi-point-separable topological vector spaces 拟点可分拓扑向量空间的不动点性质
Pub Date : 2022-01-02 DOI: 10.23952/jano.5.2023.1.08
Jinlu Li
In this paper, we introduce the concept of quasi-point-separable topological vector spaces, which has the following important properties: 1. In general, the conditions for a topological vector space to be quasi-pointseparable is not very difficult to check; 2. The class of quasi-point-separable topological vector spaces is very large that includes locally convex topological vector spaces and pseudonorm adjoint topological vector spaces as special cases; 3. Every quasi-point-separable Housdorrf topological vector space has the fixed point property (that is, every continuous self-mapping on any given nonempty closed and convex subset has a fixed point), which is the result of the main theorem of this paper (Theorem 4.1); Furthermore, we provide some concrete examples of quasi-point-separable topological vector spaces, which are not locally convex. It follows that the main theorem of this paper is a proper extension of Tychonoff’s fixed point theorem on locally convex topological vector spaces.
本文引入了拟点可分拓扑向量空间的概念,它具有以下重要性质:一般来说,拓扑向量空间准点可分的条件并不难检验;2. 拟点可分拓扑向量空间是一类非常大的空间,它包括局部凸拓扑向量空间和伪规范伴随拓扑向量空间作为特例;3.每一个拟点可分的Housdorrf拓扑向量空间都具有不动点性质(即在任意给定的非空闭凸子集上的每一个连续自映射都有一个不动点),这是本文主要定理(定理4.1)的结果;此外,我们还给出了一些非局部凸的拟点可分拓扑向量空间的具体例子。由此得出本文的主要定理是Tychonoff不动点定理在局部凸拓扑向量空间上的适当推广。
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引用次数: 0
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Journal of Applied and Numerical Optimization
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