Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202019549 ISBN 13: 9786202019545
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202019549 ISBN 13: 9786202019545
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 104 pages. 8.66x5.91x0.24 inches. In Stock.
Published by LAP Lambert Academic Publishing, 2018
ISBN 10: 6202019549 ISBN 13: 9786202019545
Language: English
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: 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: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Published by LAP Lambert Academic Publishing Jan 2018, 2018
ISBN 10: 6202019549 ISBN 13: 9786202019545
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: 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.
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202019549 ISBN 13: 9786202019545
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand.
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202019549 ISBN 13: 9786202019545
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND.
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202019549 ISBN 13: 9786202019545
Language: English
Seller: moluna, Greven, Germany
Condition: 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.
Published by LAP Lambert Academic Publishing Jan 2018, 2018
ISBN 10: 6202019549 ISBN 13: 9786202019545
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 104 pp. Englisch.
Published by LAP Lambert Academic Publishing, 2018
ISBN 10: 6202019549 ISBN 13: 9786202019545
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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.