Functional Analysis, Calculus of Variations and Numerical Methods for Models in Physics and Engineering - Hardcover

Botelho, Fabio Silva

 
9780367356743: Functional Analysis, Calculus of Variations and Numerical Methods for Models in Physics and Engineering

Inhaltsangabe

The book discusses the basic concepts of functional analysis, measure and integration theory, calculus of variations and duality aiming applications to variational problems of non-convex nature, such as the Ginzburg-Landau system in superconductivity, shape optimization models, etc.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Fabio Silva Botelho obtained a Ph.D in Mathematics from Virginia Tech, USA in 2009. Prior to that got his undergraduate and master degrees in Aeronautical Engineering from the Technological Institute of Aeronautics, ITA, SP, Brazil, in 1992 and 1996 respectively. From 2004 to 2015 he was an Assistant Professor at the Mathematics Department of Federal University of Pelotas in Brazil. From May 2015 to the present date, he has worked as an Adjunct Professor at the Department of Mathematics of Federal University of Santa Catarina, in Florianopolis, SC, Brazil. His field of research is Functional Analysis, Calculus of Variations, Duality and Numerical Analysis applied to problems in physics and engineering. He has published two books Functional Analysis and Applied Optimization in Banach Spaces (2014) and Real Analysis and Applications (2018), both with Springer. He is also the author of a generalization of the Method of Lines, a numerical method for solving partial differential equations in which the domain of the equation in question is discretized in lines and the concerning solution is written on these lines as functions of the boundary conditions and the domain boundary shape.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Weitere beliebte Ausgaben desselben Titels

9780367510039: Functional Analysis, Calculus of Variations and Numerical Methods for Models in Physics and Engineering

Vorgestellte Ausgabe

ISBN 10:  0367510030 ISBN 13:  9780367510039
Verlag: CRC Press, 2022
Softcover