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 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

Journal information

Editor
  • Irena Lasiecka,
  • Huyên Pham
Publishing model
Hybrid. Open Access options available

Journal metrics

1.895 (2018)
Impact factor
1.646 (2018)
Five year impact factor
37 days
Submission to acceptance
36,117 (2018)
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This journal has 42 open access articles

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  • COVID-19 and impact on peer review

    As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

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About this journal

Electronic ISSN
1432-0606
Print ISSN
0095-4616
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