All the Mathematics You Missed : But Need to Know for Graduate School / by T. Garrity and L. Pedersen. [Electronic Resource]
Material type: Computer filePublication details: Cambridge : Cambridge University Press, 2001Description: xxviii, 347pISBN:- 9780511800498
- 510 G193A
Item type | Home library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|
e-Book | S. R. Ranganathan Learning Hub Online | Textbook | 510 G193A (Browse shelf(Opens below)) | Available | Platform : Cambridge Core | EB0449 |
Browsing S. R. Ranganathan Learning Hub shelves, Shelving location: Online, Collection: Textbook Close shelf browser (Hides shelf browser)
502.825 C42I Introduction to Scanning Tunneling Microscopy | 502.825 C42I Intuition | 510 G189D Discrete Mathematics : Proofs, Structures and Applications | 510 G193A All the Mathematics You Missed : But Need to Know for Graduate School | 511.3 P219U The Uncertain Reasoner's Companion : A Mathematical Perspective | 511.35 H77I Introduction to Automata Theory, Languages and Computation | 511.352 G578C Computational Complexity : A Conceptual Perspective |
Beginning graduate students in mathematics and other quantitative subjects are expected to have a daunting breadth of mathematical knowledge. But few have such a background. This book will help students to see the broad outline of mathematics and 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 geometry, real analysis, point-set topology, probability, complex analysis, abstract algebra, and more. An annotated bibliography then offers a guide to further reading and to more rigorous foundations. This book will be an essential resource for advanced undergraduate and beginning graduate students in mathematics, the physical sciences, engineering, computer science, statistics, and economics who need to quickly learn some serious mathematics.
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