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Mathematical Thinking: Why Everyone Should Study Math /
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Catalogue Information
Field name
Details
Dewey Class
510
Title
Mathematical Thinking (EBook :) : Why Everyone Should Study Math / / by Howard Karloff.
Author
Karloff, Howard
Other name(s)
SpringerLink (Online service)
Edition statement
1st ed. 2023.
Publication
Cham : : Springer Nature Switzerland : : Imprint: Birkhäuser, , 2023.
Physical Details
X, 198 p. 35 illus., 20 illus. in color. : online resource.
Series
Compact Textbooks in Mathematics
2296-455X
ISBN
9783031332036
Summary Note
This textbook invites readers to explore mathematical thinking by finding the beauty in the subject. With an accessible tone and stimulating puzzles, the author will convince curious non-mathematicians to continue their studies in the area. It has an expansive scope, covering everything from probability and graph theory to infinities and Newton’s method. Many examples of proofs appear as well, offering readers the opportunity to explore these topics with the amount of rigor that suits them. Programming exercises in Python are also included to show how math behaves in action. Mathematical Thinking is an ideal textbook for transition courses aimed at undergraduates moving from lower level to more advanced topics, as well as for math recruitment and invitational courses at the freshman or sophomore level. It may also be of interest in computer science departments and can be used as a supplemental text for courses in discrete mathematics and graph theory.:
Contents note
Primes -- The Euclidean Algorithm -- Modular Arithmetic -- Irrationals -- *i* -- Infinities and Diagonalization -- Binary Search -- Newton's Method -- Graph Theory -- Probability -- Fractals -- Solutions to Puzzles -- Acknowledgements -- Bibliography -- Index.
Mode of acces to digital resource
Digital reproduction.-
Cham :
Springer International Publishing,
2023. -
Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
https://doi.org/10.1007/978-3-031-33203-6
Links to Related Works
Subject References:
General Mathematics
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Mathematics
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Number Theory
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Probabilities
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Probability Theory
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Authors:
author
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Karloff, Howard
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Corporate Authors:
SpringerLink (Online service)
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Series:
Compact Textbooks in Mathematics
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Classification:
510
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