Esaim-control Optimisation And Calculus Of Variations

雜志介紹

Esaim-control Optimisation And Calculus Of Variations雜志介紹

《Esaim-control Optimisation And Calculus Of Variations》是一本以English為主的未開放獲取國際優秀期刊，中文名稱Esaim-control優化和變分法，本刊主要出版、報道數學-AUTOMATION & CONTROL SYSTEMS領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為1.3，最新CiteScore 指數為3。

本刊近期中國學者發表的論文主要有：

• Risk-sensitive mean field games with major and minor players*

  Author: Chen, Yan; Li, Tao; Xin, Zhixian

• Controllability and Observability for some Forward Stochastic Complex Degenerate/Singular Ginzburg-Landau Equations*

  Author: Yu, Yongyi; Zhao, Qingmei

• Phase field topology optimisation for 4D printing*

  Author: Garcke, Harald; Lam, Kei Fong; Nurnberg, Robert; Signori, Andrea

• The Lebeau

  Author: gaopengjilindaxue

英文介紹

Esaim-control Optimisation And Calculus Of Variations雜志英文介紹

ESAIM: COCV strives to publish rapidly and efficiently papers and surveys in the areas of Control, Optimisation and Calculus of Variations.

Articles may be theoretical, computational, or both, and they will cover contemporary subjects with impact in forefront technology, biosciences, materials science, computer vision, continuum physics, decision sciences and other allied disciplines.

Targeted topics include:

in control: modeling, controllability, optimal control, stabilization, control design, hybrid control, robustness analysis, numerical and computational methods for control, stochastic or deterministic, continuous or discrete control systems, finite-dimensional or infinite-dimensional control systems, geometric control, quantum control, game theory;

in optimisation: mathematical programming, large scale systems, stochastic optimisation, combinatorial optimisation, shape optimisation, convex or nonsmooth optimisation, inverse problems, interior point methods, duality methods, numerical methods, convergence and complexity, global optimisation, optimisation and dynamical systems, optimal transport, machine learning, image or signal analysis;

in calculus of variations: variational methods for differential equations and Hamiltonian systems, variational inequalities; semicontinuity and convergence, existence and regularity of minimizers and critical points of functionals, relaxation; geometric problems and the use and development of geometric measure theory tools; problems involving randomness; viscosity solutions; numerical methods; homogenization, multiscale and singular perturbation problems.