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022			_a2731-4235
024	7		_a10.1007/13662.1687-1847 _2doi
210	1	0	_aAdv Cont Discr Mod
245	1	0	_aAdvances in Continuous and Discrete Models _h[electronic resource] : _bTheory and Modern Applications / _cedited by Xue-Cheng Tai, Harbir Antil, Enrique Zuazua, Elena Braverman, Martin Bohner, Song Wang.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer.
300			_bonline resource.
520			_aThis journal seeks to publish high quality research and survey articles of exceptional merit in the broad and expansive fields of Applied Mathematics and Data Sciences. The transformative success of these fields stems from groundbreaking theoretical and algorithmic advancements in areas such as scientific computing and machine learning, data-driven modeling, differential equations, numerical analysis, control, optimization, and the development of robust computational tools for managing uncertainty and randomness. Beyond analytical advancements, this journal also welcomes contributions addressing novel computational methodologies and diverse applications, particularly in areas such as Scientific Machine Learning, Mathematical Biology, and Bioengineering. By doing so, the journal aims to serve as a vital bridge between cutting-edge mathematical research and impactful real-world applications. Numerical Analysis and Scientific Computing: Welcoming submissions covering numerical methods for ODEs/PDEs, inverse problems, optimisation and control, model reductions, uncertainty quantification, computational science and engineering, computational mechanics. Partial Differential Equations and Mathematical Physics: This section accepts papers on all aspects of ordinary, partial differential equations and mathematical physics. The section also covers all applications concerning partial differential equations. Control: The section welcomes contributions on the control theory considered in a broad sense, comprising areas of controllability, optimal control, control engineering, inverse problems, etc. The papers must provide novel theoretical and/or application approaches to non-isolated research topics whose relevance has to be justified with clear links to established methods and theories. Stochastic Modeling, Analysis and Uncertainty Quantification: This section accepts research papers on financial markets and population system related stochastic models, analysis of models, including stability and optimal control. Mathematical Biology and Bioengineering: Welcoming innovative simple mathematical modeling efforts inspired by biological phenomena, including but not limited to ecology and epidemiology. We also welcome the analysis of mathematical properties of existing models with biological implications through new technologies.
650		0	_aDifference equations.
650		0	_aFunctional equations.
650		0	_aMathematics.
650		0	_aMathematical analysis.
650		0	_aFunctional analysis.
650		0	_aDifferential equations.
650	1	4	_aDifference and Functional Equations.
650	2	4	_aMathematics.
650	2	4	_aAnalysis.
650	2	4	_aFunctional Analysis.
650	2	4	_aDifferential Equations.
700	1		_aTai, Xue-Cheng. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aAntil, Harbir. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aZuazua, Enrique. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBraverman, Elena. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBohner, Martin. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aWang, Song. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
856	4	0	_uhttps://doi.org/10.1007/13662.1687-1847 _zOpen Access
999			_c4734 _d4734