The Applied Mathematics and Optimization Journal covers a broad range of mathematical methods in particular those that bridge with optimization and have some connection with applications. Core topics include calculus of variations, partial differential equations, stochastic control, optimization of deterministic or stochastic systems in discrete or continuous time, homogenization, control theory, mean field games, dynamic games and optimal transport. Algorithmic, data analytic, machine learning and numerical methods which support the modeling and analysis of optimization problems are encouraged. Of great interest are papers which show some novel idea in either the theory or model which include some connection with potential applications in science and engineering.
应用数学与优化杂志涵盖了广泛的数学方法,特别是那些桥梁与优化和应用有一些联系。核心课程包括变分微积分、偏微分方程、随机控制、离散或连续时间确定性或随机系统的最优化、均匀化、控制理论、平均场对策、动态对策和最优运输。鼓励支持优化问题建模和分析的算法、数据分析、机器学习和数值方法。值得关注的是那些在理论或模型上显示出一些新颖想法的论文,其中包括一些与科学和工程潜在应用的联系。
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