<p>“Each chapter offers numerical analysis problems to be solved. The authors walk the reader through the solution, using MATLAB source code to solve each problem, and provide the mathematical formulas for each problem presented. … The presentation is done well; it is easy to follow and pedagogically sound. The development of good code is stressed throughout the text. The examples presented are interesting to a broad audience.” (Robert M. Lynch, Computing Reviews, February, 2017)</p>“This book is intended for novice programmers, especially students, teachers, engineers and scientists from areas related to mathematics and numerical mathematics. … each treated concept is illustrated and explained in detail by means of working examples. On the basis of exercises, the reader is given the opportunity to deepen acquired knowledge. … The clear presentation and the large number of concrete examples, often with a graphical output, make this book ideally suited for self-study and ensures a quick success.” (Stefan Meyer, zbMATH 1350.68002, 2017)<p></p>

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.
Les mer
This book presents computer programming as a key method for solving mathematical problems. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students.
Les mer
Preface.- The first few steps.- Basic constructions.- Computing integrals.- Solving ordinary differential equations.- Solving partial differential equations.- Solving nonlinear algebraic equations.- References.- Index.
Les mer
“Each chapter offers numerical analysis problems to be solved. The authors walk the reader through the solution, using MATLAB source code to solve each problem, and provide the mathematical formulas for each problem presented. … The presentation is done well; it is easy to follow and pedagogically sound. The development of good code is stressed throughout the text. The examples presented are interesting to a broad audience.” (Robert M. Lynch, Computing Reviews, February, 2017)“This book is intended for novice programmers, especially students, teachers, engineers and scientists from areas related to mathematics and numerical mathematics. … each treated concept is illustrated and explained in detail by means of working examples. On the basis of exercises, the reader is given the opportunity to deepen acquired knowledge. … The clear presentation and the large number of concrete examples, often with a graphical output, make this book ideally suited for self-study and ensures a quick success.” (Stefan Meyer, zbMATH 1350.68002, 2017)
Les mer
This is an open access book, the electronic versions are freely accessible online.
Easy-to-read text offering a gentle introduction to the necessary mathematics and computer science concepts Focuses on explaining all details of how to construct programs to solve mathematical problems Further emphasizes verification procedures and how to embed them in automatic test frameworks Includes supplementary material: sn.pub/extras
Les mer
Open Access This book is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
Les mer

Produktdetaljer

ISBN
9783319324517
Publisert
2016-07-28
Utgiver
Vendor
Springer International Publishing AG
Høyde
254 mm
Bredde
178 mm
Aldersnivå
Lower undergraduate, UP, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet

Om bidragsyterne

Svein Linge is a professor of modelling and simulation at the University College of Southeast Norway and holds a Dr. Scient. degree in biomechanics from the Norwegian School of Sport Sciences. He works part-time at a Norwegian Center of Excellence: "Center for Biomedical Computing", at Simula Research Laboratory, to which he has been linked for the last 13 years. His main research interests includes cerebrospinal fluid dynamics, cardiac electro-mechanics and sport biomechanics. Over the last decade, Linge has been particularly engaged in reforming the engineering education in mathematics and physics to take advantage of computer programming and simulation.


Hans Petter Langtangen is a professor of computer science at the University of Oslo. He has formerly been a professor of mechanics and is now the director of a Norwegian Center of Excellence: "Center for Biomedical Computing", at Simula Research Laboratory. Langtangen has published over100 scientific publications and written several books, including papers and the bestseller TCSE 6 "A Primer on Scientific Programming with Python", now in its 5th edition. He has also developed open source and commercial software systems for computational sciences.