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Advances in Continuous and Discrete Models

Resumen/Descripción – provisto por la editorial en inglés
Computational and applied mathematics along with data science play a vital role in contemporary society by driving innovation. This success can be attributed to revolutionary theoretical and algorithmic developments in machine learning, data driven modeling, differential equations, numerical analysis, scientific computing, control, optimization, and computing resources together with new tools to deal with uncertainty and randomness. This journal encourages new research in these broad areas. In addition to research on algorithmic and analytical developments, the journal also encourages papers related to (but not limited to) broad applications in Signal and Image Processing, Computer Vision, Materials Science, Mathematical Biology and Bioengineering. As a result, the journal will be an excellent connecting bridge between mathematical research and real world applications.
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No requiere desde ene. 2004 / hasta dic. 2024 SpringerOpen acceso abierto

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Tipo de recurso:

revistas

ISSN electrónico

2731-4235

Editor responsable

Springer Nature

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