A Beginner's Guide to Mathematical Proof prepares mathematics majors for the transition to abstract mathematics, as well as introducing a wider readership of quantitative science students, such as engineers, to the mathematical structures underlying more applied topics.
The text is designed to be easily utilized by both instructor and student, with an accessible, step-by-step approach requiring minimal mathematical prerequisites. The book builds towards more complex ideas as it progresses but never makes assumptions of the reader beyond the material already covered.
Features
No mathematical prerequisites beyond high school mathematics
Suitable for an Introduction to Proofs course for mathematics majors and other students of quantitative sciences, such as engineering
Replete with exercises and examples
Rezensionen / Stimmen
"Exceptionally well organized and presented, as well as thoroughly replete with student friendly exercises and examples"
--Midwest Book Review
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Undergraduate Core
Illustrationen
31 s/w Tabellen, 23 s/w Zeichnungen, 23 s/w Abbildungen
31 Tables, black and white; 23 Line drawings, black and white; 23 Illustrations, black and white
Maße
Höhe: 234 mm
Breite: 156 mm
Dicke: 9 mm
Gewicht
ISBN-13
978-1-032-68770-4 (9781032687704)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Mark DeBonis received his PhD in Mathematics from University of California, Irvine, USA. He began his career as a theoretical mathematician in the field of group theory and model theory, but in later years switched to applied mathematics, in particular to machine learning. He spent some time working for the US Department of Energy at Los Alamos National Lab as well as the US Department of Defense at the Defense Intelligence Agency as an applied mathematician of machine learning. He is at present working for the US Department of Energy at Sandia National Lab. His research interests include machine learning, statistics and computational algebra.
Autor*in
Manhattan College, USA
Preface, Chapter 1 Mathematical Logic, Chapter 2 Methods of Proof, Chapter 3 Special Proof Types, Chapter 4 Foundational Mathematical Topics, References, Index
