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Linear algebra : theory and applications / Ward Cheney, David R. Kincaid.

By: Contributor(s): Material type: TextTextSeries: Jones & bartlett learning international series in mathematicPublication details: New Delhi : Jones & Bartlett Learning, 2010.Description: xvii,7400 p. ; 24 cm. (Rk#6.b Sh#01)ISBN:
  • 1449613527 (hardcover)
  • 9781449613525 (hardcover)
DDC classification:
  • 512.5
Online resources: Summary: Ward Cheney and David Kincaid have developed Linear Algebra: Theory and Applications, Second Edition, a multi-faceted introductory textbook, which was motivated by their desire for a single text that meets the various requirements for differing courses within linear algebra. For theoretically-oriented students, the text guides them as they devise proofs and deal with abstractions by focusing on a comprehensive blend between theory and applications. For application-oriented science and engineering students, it contains numerous exercises that help them focus on understanding and learning not only vector spaces, matrices, and linear transformations, but also how software tools are used in applied linear algebra. Using a flexible design, it is an ideal textbook for instructors who wish to make their own choice regarding what material to emphasize, and to accentuate those choices with homework assignments from a large variety of exercises, both in the text and online.
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Item type Current library Collection Call number Status Barcode
Book Book Air University Kharian Campus Library NFIC 512.5 (Browse shelf(Opens below)) In transit from Air University Kharian Campus Library to Air University Multan Campus Library since 11/29/2024 P001067

Ward Cheney and David Kincaid have developed Linear Algebra: Theory and Applications, Second Edition, a multi-faceted introductory textbook, which was motivated by their desire for a single text that meets the various requirements for differing courses within linear algebra. For theoretically-oriented students, the text guides them as they devise proofs and deal with abstractions by focusing on a comprehensive blend between theory and applications. For application-oriented science and engineering students, it contains numerous exercises that help them focus on understanding and learning not only vector spaces, matrices, and linear transformations, but also how software tools are used in applied linear algebra. Using a flexible design, it is an ideal textbook for instructors who wish to make their own choice regarding what material to emphasize, and to accentuate those choices with homework assignments from a large variety of exercises, both in the text and online.

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