Mathematics for Physicists and Engineers: Fundamentals and Interactive Study Guide

Author:   Klaus Weltner ,  S. T. John ,  Wolfgang J. Weber ,  Peter Schuster
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   3rd ed. 2023
ISBN:  

9783662660676


Pages:   656
Publication Date:   08 December 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Mathematics for Physicists and Engineers: Fundamentals and Interactive Study Guide


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Author:   Klaus Weltner ,  S. T. John ,  Wolfgang J. Weber ,  Peter Schuster
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   3rd ed. 2023
Weight:   1.293kg
ISBN:  

9783662660676


ISBN 10:   3662660679
Pages:   656
Publication Date:   08 December 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Prof. Dr. Klaus Weltner (1927-2020) studied physics at the Technical University Hannover (Germany) and the University of Bristol (England). He graduated in plasma physics and was professor of physics and didactic of physics at the universities Osnabrück, Berlin, Frankfurt and visiting professor of physics at the Federal University of Bahia (Brazil). Prof. Dr. Jean Grosjean was Head of Applied Mechanics at the School of Engineering at the University of Bath (England). Wolfgang J. Weber studied mathematics at the Universities of Frankfurt (Germany), Oxford (England) and Michigan State (USA). He is currently responsible for the training of computer specialists at the computing center at the University of Frankfurt. Dr.-Ing. Peter Schuster was lecturer at the School of Engineering at the University of Bath (England). Different appointments in the chemical industry. Dr. S. T. John completed a Ph.D. in Physics at the University of Cambridge (England) and has been working in probabilistic machine learning research both in industry and academia.

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