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Elementary Numerical Mathematics for Programmers and Engineers de Gisbert Stoyan

Elementary Numerical Mathematics for Programmers and Engineers: Compact Textbooks in Mathematics

Autor Gisbert Stoyan, Agnes Baran
en Limba Engleză Paperback – 16 dec 2016
This book covers the basics of numerical methods, while avoiding the definition-theorem-proof style and instead focusing on numerical  examples and simple pseudo-codes.
The book is divided into ten chapters. Starting with floating number calculations and continuing up to ordinary differential equations, including "Euler backwards". The final chapter discusses practical error estimations. Exercises (including several in MATLAB) are provided at the end of each chapter. Suitable for readers with minimal mathematical knowledge, the book not only offers an elementary introduction to numerical mathematics for programmers and engineers but also provides supporting material for students and teachers of mathematics.
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Specificații

ISBN-13: 9783319446592
ISBN-10: 3319446592
Pagini: 242
Ilustrații: IX, 220 p. 27 illus., 10 illus. in color.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.33 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Birkhäuser
Seria Compact Textbooks in Mathematics

Locul publicării:Cham, Switzerland

Cuprins

Floating point arithmetic.- Norms, condition numbers.- Solution of systems of linear equations.- The least squares problem.- Eigenvalue problems.- Interpolation.- Nonlinear equations and systems.- Numerical integration.- Ordinary differential equations.- Practical error estimation.- Bibliography.- Index.

Recenzii

“The book is well-written and the typesetting is attractive. … Elementary Numerical Mathematics for Programmers and Engineers covers the standard topics well. Results are never simply stated and the main ideas are always fleshed out either through derivations or highly insightful examples. The authors also use clear and consistent notation throughout the book. I would particularly recommend this book to someone who is trying to learn numerical mathematics independently without the help of an instructor.” (Jason M. Graham, MAA Reviews, maa.org, February, 2017)

Notă biografică

Gisbert Stoyan worked for more than 10 years on industrial problems at the WIAS in Berlin and was teaching numerical mathematics at ELTE University (Budapest, Hungary) for over 30 years. He has written research papers mostly on the numerical solution of partial differential equations. A three-volume textbook published in Hungarian brings together his experiences in areas including (along with the basic topics like numerical linear algebra, nonlinear equations) strongly stable methods for ODEs, multigrid algorithms, finite element praxis and theory, finite elements for Navier-Stokes equations, and methods for first-order hyperbolic equations.

Agnes Baran received her PhD in Mathematics in 2008 at the University of Debrecen. Her doctoral thesis on high-order finite element methods for Stokes equations was supervised by Gisbert Stoyan. Since 2008, she works as an Assistant Professor at the Faculty of Informatics at the the University of Debrecen where she teaches courses on numerical analysis for students of Mathematics and Computer Science.

Textul de pe ultima copertă

This book covers the basics of numerical methods, while avoiding the definition-theorem-proof style and instead focusing on numerical  examples and simple pseudo-codes.
The book is divided into ten chapters. Starting with floating number calculations and continuing up to ordinary differential equations, including "Euler backwards". The final chapter discusses practical error estimations. Exercises (including several in MATLAB) are provided at the end of each chapter. Suitable for readers with minimal mathematical knowledge, the book not only offers an elementary introduction to numerical mathematics for programmers and engineers but also provides supporting material for students and teachers of mathematics.

Caracteristici

Covers the basics of numerical methods, while avoiding the definition-theorem-proof style Includes exercises in MATLAB Provides numerical examples in order to promote reader comprehension Presents material about practical error estimation