Linear and Matrix Algebra

Author:   Nathaniel Johnston
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
ISBN:  

9783030837563


Pages:   976
Publication Date:   02 July 2021
Format:   Hardback
Availability:   In Print   Availability explained
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Linear and Matrix Algebra


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Overview

This textbook set emphasizes the interplay between algebra and geometry to motivate the study of linear algebra. Matrices and linear transformations are presented as two sides of the same coin, with their connection motivating inquiry throughout the two books. By focusing on this interface, the author offers a conceptual appreciation of the mathematics that is at the heart of further theory and applications. The second volume builds on the introductory foundations laid in the first. Linear and Matrix Algebra presents a unified pathway from introductory to advanced techniques. The engaging color presentation and frequent marginal notes showcase the author’s visual approach. To begin, students are assumed to have completed one or two university-level mathematics courses, though calculus is not an explicit requirement. On completing the set, students will be equipped with the advanced tools and concepts needed for further study in mathematics, data analysis, and beyond.Instructors will appreciate the ample opportunities to select topics that align with the needs of each classroom, along with the convenience of consistency across the undergraduate linear algebra curriculum.

Full Product Details

Author:   Nathaniel Johnston
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
ISBN:  

9783030837563


ISBN 10:   3030837564
Pages:   976
Publication Date:   02 July 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Nathaniel Johnston is an Associate Professor of Mathematics at Mount Allison University in New Brunswick, Canada. His research makes use of linear algebra, matrix analysis, and convex optimization to tackle questions related to the theory of quantum entanglement.

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