Mathematical Thinking - Howard Karloff

Mathematical Thinking

Why Everyone Should Study Math

(Autor)

Buch | Hardcover
X, 198 Seiten
2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-33202-9 (ISBN)
69,54 inkl. MwSt
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.

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.

Howard Karloff is a former professor of computer science at Georgia Tech and the University of Chicago. He is also the author of the 1991 Modern Birkhauser Classic "Linear Programming."

PrimesThe Euclidean AlgorithmModular ArithmeticIrrationals*i*Infinities and DiagonalizationBinary SearchNewton's MethodGraph TheoryProbabilityFractalsSolutions to PuzzlesAcknowledgementsBibliographyIndex

Erscheinungsdatum
Reihe/Serie Compact Textbooks in Mathematics
Zusatzinfo X, 198 p. 35 illus., 20 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 469 g
Themenwelt Mathematik / Informatik Mathematik Arithmetik / Zahlentheorie
Schlagworte Euclidean algorithm • Introduction to primes • Invitation mathematics • Math and computer science • Mathematical beauty • mathematical thinking • math majors • math puzzles • Math recruiting • Math recruitment • Math transition course • modular arithmetic • Python code math
ISBN-10 3-031-33202-4 / 3031332024
ISBN-13 978-3-031-33202-9 / 9783031332029
Zustand Neuware
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