Applied Mathematics & Optimization [electronic resource] /
Applied Mathematics & Optimization [electronic resource] /
edited by Irena Lasiecka, Huyên Pham, Nizar Touzi.
- online resource.
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. Papers considered for publication must contain significant contributions and applications from a mathematical perspective. 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 mathematical analysis of optimization problems are encouraged. Of great interest are papers which show some novel idea in either the theory or model and include some connection with potential applications in science and engineering.
1432-0606 = Appl Math Optim
10.1007/245.1432-0606 doi
Mathematical optimization.
Calculus of variations.
System theory.
Control theory.
Mathematical physics.
Mathematical physics.
Calculus of Variations and Optimization.
Systems Theory, Control.
Mathematical Methods in Physics.
Theoretical, Mathematical and Computational Physics.
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. Papers considered for publication must contain significant contributions and applications from a mathematical perspective. 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 mathematical analysis of optimization problems are encouraged. Of great interest are papers which show some novel idea in either the theory or model and include some connection with potential applications in science and engineering.
1432-0606 = Appl Math Optim
10.1007/245.1432-0606 doi
Mathematical optimization.
Calculus of variations.
System theory.
Control theory.
Mathematical physics.
Mathematical physics.
Calculus of Variations and Optimization.
Systems Theory, Control.
Mathematical Methods in Physics.
Theoretical, Mathematical and Computational Physics.