Authors:
- Provides an exceptionally concise and clear treatment of essential mathematical methods used in physics and engineering
- Each chapter contains practice problems and solutions
- Can be used as the basis for a one-semester undergraduate mathematics course for physics and engineering majors
Part of the book series: Undergraduate Lecture Notes in Physics (ULNP)
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Table of contents (8 chapters)
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Front Matter
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Fundamentals
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Front Matter
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Back Matter
About this book
This book covers a course of mathematics designed primarily for physics and engineering students. It includes all the essential material on mathematical methods, presented in a form accessible to physics students, avoiding precise mathematical jargon and proofs which are comprehensible only to mathematicians. Instead, all proofs are given in a form that is clear and convincing enough for a physicist. Examples, where appropriate, are given from physics contexts. Both solved and unsolved problems are provided in each section of the book.
Mathematics for Natural Scientists: Fundamentals and Basics is the first of two volumes. Advanced topics and their applications in physics are covered in the second volume.
Keywords
Authors and Affiliations
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Physics, King’s College London, London, United Kingdom
Lev Kantorovich
About the author
Bibliographic Information
Book Title: Mathematics for Natural Scientists
Book Subtitle: Fundamentals and Basics
Authors: Lev Kantorovich
Series Title: Undergraduate Lecture Notes in Physics
DOI: https://doi.org/10.1007/978-1-4939-2785-2
Publisher: Springer New York, NY
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2016
eBook ISBN: 978-1-4939-2785-2Published: 08 October 2015
Series ISSN: 2192-4791
Series E-ISSN: 2192-4805
Edition Number: 1
Number of Pages: XVII, 526
Number of Illustrations: 6 b/w illustrations, 118 illustrations in colour
Topics: Mathematical Methods in Physics, Mathematical and Computational Engineering, Math. Applications in Chemistry, Mathematical Applications in the Physical Sciences, Numerical and Computational Physics, Simulation