Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202019549 ISBN 13: 9786202019545
Da: Revaluation Books, Exeter, Regno Unito
EUR 58,15
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 104 pages. 8.66x5.91x0.24 inches. In Stock.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202019549 ISBN 13: 9786202019545
Da: preigu, Osnabrück, Germania
EUR 29,40
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Implementation of Fractional-order Derivatives, Integrals & ODE | Using GPU Computing | Mukesh Patil (u. a.) | Taschenbuch | 104 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786202019545 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP Lambert Academic Publishing Jan 2018, 2018
ISBN 10: 6202019549 ISBN 13: 9786202019545
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 32,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book is intended for engineers, students who want to accelerate their code using GPU programming with MATLAB. The main objective of this book is to speedup the numerical methods used for fractional calculus using GPU computing with MATLAB. This book starts with the basic concepts of fractional calculus and numerical methods used for approximation of fractional-order integrals, derivatives and fractional-order ordinary differential equations. The book further covers the GPU computing terminology with MATLAB Parallel Computing Toolbox and in-built GPU enabled MATLAB functions which allows accelerating the applications without extensive knowledge of GPU programming. 104 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202019549 ISBN 13: 9786202019545
Da: moluna, Greven, Germania
EUR 29,02
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patil MukeshDr. Mukesh D. Patil (Ph.D., IIT Bombay) is a Professor and HOD of Electronics and Telecomm Engg at Ramrao Adik Institute of Technology, Navi Mumbai, India. His current research area is fractional-order control, and parall.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6202019549 ISBN 13: 9786202019545
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 32,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book is intended for engineers, students who want to accelerate their code using GPU programming with MATLAB. The main objective of this book is to speedup the numerical methods used for fractional calculus using GPU computing with MATLAB. This book starts with the basic concepts of fractional calculus and numerical methods used for approximation of fractional-order integrals, derivatives and fractional-order ordinary differential equations. The book further covers the GPU computing terminology with MATLAB Parallel Computing Toolbox and in-built GPU enabled MATLAB functions which allows accelerating the applications without extensive knowledge of GPU programming.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.
Lingua: Inglese
Editore: LAP Lambert Academic Publishing, 2018
ISBN 10: 6202019549 ISBN 13: 9786202019545
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 34,42
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book is intended for engineers, students who want to accelerate their code using GPU programming with MATLAB. The main objective of this book is to speedup the numerical methods used for fractional calculus using GPU computing with MATLAB. This book starts with the basic concepts of fractional calculus and numerical methods used for approximation of fractional-order integrals, derivatives and fractional-order ordinary differential equations. The book further covers the GPU computing terminology with MATLAB Parallel Computing Toolbox and in-built GPU enabled MATLAB functions which allows accelerating the applications without extensive knowledge of GPU programming.