應(yīng)用數(shù)學(xué)與優(yōu)化雜志涵蓋了廣泛的數(shù)學(xué)方法，特別是那些橋梁與優(yōu)化和應(yīng)用有一些聯(lián)系。核心課程包括變分微積分、偏微分方程、隨機(jī)控制、離散或連續(xù)時(shí)間確定性或隨機(jī)系統(tǒng)的最優(yōu)化、均勻化、控制理論、平均場對(duì)策、動(dòng)態(tài)對(duì)策和最優(yōu)運(yùn)輸。鼓勵(lì)支持優(yōu)化問題建模和分析的算法、數(shù)據(jù)分析、機(jī)器學(xué)習(xí)和數(shù)值方法。值得關(guān)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(xué)和工程潛在應(yīng)用的聯(lián)系。

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.