Date of publication: 2017-08-27 07:45
This journal is devoted to Applied Mathematics with an emphasis on the analysis and optimization of systems governed by various classes of dynamical systems in discrete or continuous time, both deterministic and stochastic. Of great interests are models with potential applications to physics, biology, economics and finance, networks, and engineering. Optimization includes mathematical control theory, dynamic games and optimal transport. Contributions to numerical methods supporting the modelling and analysis of optimization problems are welcome but some novel and significant development of underlying mathematics are expected.
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Books Gaussian Processes for Machine Learning , Carl Edward Rasmussen and Chris Williams, the MIT Press, 7556, online version.
J. Evol. Equ.
First published in 7556
6 volume per year, 9 issues per volume
approx. 6,555 pages per vol.
Format: x cm
ISSN 6979-8699 (print)
ISSN 6979-8757 (electronic)