Fractional Derivatives with Mittag-Leffler Kernel Trends and Applications in Science and Engineering / [electronic resource] :
edited by José Francisco Gómez, Lizeth Torres, Ricardo Fabricio Escobar.
- 1st ed. 2019.
- VIII, 341 p. 87 illus., 42 illus. in color. online resource.
- Studies in Systems, Decision and Control, 194 2198-4190 ; .
- Studies in Systems, Decision and Control, 194 .
This book offers a timely overview of fractional calculus applications, with a special emphasis on fractional derivatives with Mittag-Leffler kernel. The different contributions, written by applied mathematicians, physicists and engineers, offers a snapshot of recent research in the field, highlighting the current methodological frameworks together with applications in different fields of science and engineering, such as chemistry, mechanics, epidemiology and more. It is intended as a timely guide and source of inspiration for graduate students and researchers in the above-mentioned areas.
9783030116620
10.1007/978-3-030-11662-0 doi
Control engineering.
Mathematical analysis.
Mathematical physics.
Control and Systems Theory.
Integral Transforms and Operational Calculus.
Theoretical, Mathematical and Computational Physics.
TJ212-225
629.8312 003
This book offers a timely overview of fractional calculus applications, with a special emphasis on fractional derivatives with Mittag-Leffler kernel. The different contributions, written by applied mathematicians, physicists and engineers, offers a snapshot of recent research in the field, highlighting the current methodological frameworks together with applications in different fields of science and engineering, such as chemistry, mechanics, epidemiology and more. It is intended as a timely guide and source of inspiration for graduate students and researchers in the above-mentioned areas.
9783030116620
10.1007/978-3-030-11662-0 doi
Control engineering.
Mathematical analysis.
Mathematical physics.
Control and Systems Theory.
Integral Transforms and Operational Calculus.
Theoretical, Mathematical and Computational Physics.
TJ212-225
629.8312 003