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022 _a1432-0606
024 7 _a10.1007/245.1432-0606
_2doi
210 1 0 _aAppl Math Optim
245 1 0 _aApplied Mathematics & Optimization
_h[electronic resource] /
_cedited by Irena Lasiecka, Huyên Pham, Nizar Touzi.
264 1 _aNew York :
_bSpringer US :
_bImprint: Springer.
300 _bonline resource.
520 _aThe 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.
650 0 _aMathematical optimization.
650 0 _aCalculus of variations.
650 0 _aSystem theory.
650 0 _aControl theory.
650 0 _aMathematical physics.
650 0 _aMathematical physics.
650 1 4 _aCalculus of Variations and Optimization.
650 2 4 _aSystems Theory, Control.
650 2 4 _aMathematical Methods in Physics.
650 2 4 _aTheoretical, Mathematical and Computational Physics.
700 1 _aLasiecka, Irena.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPham, Huyên.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTouzi, Nizar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
776 0 8 _iPrinted version:
_x0095-4616
856 4 0 _uhttps://doi.org/10.1007/245.1432-0606
_zHybrid
999 _c1774
_d1774