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.

應用數學與優化雜志涵蓋了廣泛的數學方法，特別是那些橋梁與優化和應用有一些聯系。核心課程包括變分微積分、偏微分方程、隨機控制、離散或連續時間確定性或隨機系統的最優化、均勻化、控制理論、平均場對策、動態對策和最優運輸。鼓勵支持優化問題建模和分析的算法、數據分析、機器學習和數值方法。值得關注的是那些在理論或模型上顯示出一些新穎想法的論文，其中包括一些與科學和工程潛在應用的聯系。