Overview
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.
- Editor
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- Irena Lasiecka,
- Nizar Touzi
- Impact factor
- 1.8 (2022)
- 5 year impact factor
- 1.9 (2022)
- Submission to first decision (median)
- 5 days
- Downloads
- 167,717 (2023)
Latest articles
Journal information
- Electronic ISSN
- 1432-0606
- Print ISSN
- 0095-4616
- Abstracted and indexed in
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- ACM Digital Library
- ANVUR
- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- Current Contents/Physical, Chemical and Earth Sciences
- Dimensions
- EBSCO
- EI Compendex
- Google Scholar
- INIS Atomindex
- Japanese Science and Technology Agency (JST)
- Mathematical Reviews
- Naver
- Norwegian Register for Scientific Journals and Series
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- SCImago
- SCOPUS
- Science Citation Index Expanded (SCIE)
- TD Net Discovery Service
- UGC-CARE List (India)
- Wanfang
- zbMATH
- Copyright information
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© Springer Science+Business Media, LLC, part of Springer Nature