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.

  • Presents papers that embrace a wide diversity of applied areas, such as physical, chemical, biological, environmental topics.
  • Papers that emphasize modeling, applications or algorithms are welcome but some novel and significant development of underlying mathematics needed
Editor
  • Irena Lasiecka,
  • Huyên Pham
Publishing model
Hybrid. Open Choice – What is this?
Impact
Impact factor: 1.895 (2018)
Five year impact factor: 1.646 (2018)
Speed
Acceptance to publication: 9 days
Usage
Downloads: 36,117 (2018)

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About this journal

Electronic ISSN
1432-0606
Print ISSN
0095-4616
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