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.

  • 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 must illustrate novel and significant development of underlying mathematics

Journal information

Editor
  • Irena Lasiecka,
  • Huyên Pham
Publishing model
Hybrid (Transformative Journal). Learn about publishing Open Access with us

Journal metrics

2.369 (2019)
Impact factor
1.731 (2019)
Five year impact factor
43 days
Submission to first decision
158 days
Submission to acceptance
52,317 (2019)
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This journal has 62 open access articles

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About this journal

Electronic ISSN
1432-0606
Print ISSN
0095-4616
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