Overview
- 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
Keywords
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.
Authors and Affiliations
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