Amazon cover image
Image from Amazon.com

All the math you missed : but need to know for graduate school / Thomas A. Garrity

By: Material type: TextTextLanguage: English Publisher: Cambridge New York, NY, USA Port Melbourne, Australia New Delhi, India Singapore Cambridge University Press 2021Edition: Second editionDescription: xxviii, 387 pages IllustrationsContent type:
  • Text
Media type:
  • unmediated
Carrier type:
  • Volume
ISBN:
  • 9781316518403
  • 9781009009195
Subject(s): DDC classification:
  • 23 510
Summary: Few beginning graduate students in mathematics and other quantitative subjects possess the daunting breadth of mathematical knowledge expected of them when they begin their studies. This book will offer students a broad outline of essential mathematics and will help to fill in the gaps in their knowledge. The author explains the basic points and a few key results of all the most important undergraduate topics in mathematics, emphasizing the intuitions behind the subject. The topics include linear algebra, vector calculus, differential and analytical geometry, real analysis, point-set topology, probability, complex analysis, set theory, algorithms, and more. An annotated bibliography offers a guide to further reading and to more rigorous foundations.
Holdings
Item type Current library Call number Status Date due Barcode Item holds
Book Book Library 510-2021 (Browse shelf(Opens below)) Available AT-ISTA#002987
Total holds: 0

References: Pages [367]-374

Few beginning graduate students in mathematics and other quantitative subjects possess the daunting breadth of mathematical knowledge expected of them when they begin their studies. This book will offer students a broad outline of essential mathematics and will help to fill in the gaps in their knowledge. The author explains the basic points and a few key results of all the most important undergraduate topics in mathematics, emphasizing the intuitions behind the subject. The topics include linear algebra, vector calculus, differential and analytical geometry, real analysis, point-set topology, probability, complex analysis, set theory, algorithms, and more. An annotated bibliography offers a guide to further reading and to more rigorous foundations.

Powered by Koha