Introduction to Linear Algebra

Author:   Rita Fioresi ,  Marta Morigi (Università di Bologna, Italy)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367635503


Pages:   274
Publication Date:   25 September 2023
Format:   Paperback
Availability:   In Print   Availability explained
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Introduction to Linear Algebra


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Overview

Linear algebra provides the essential mathematical tools to tackle all the problems in Science. Introduction to Linear Algebra is primarily aimed at students in applied fields (e.g. Computer Science and Engineering), providing them with a concrete, rigorous approach to face and solve various types of problems for the applications of their interest. This book offers a straightforward introduction to linear algebra that requires a minimal mathematical background to read and engage with. Features Presented in a brief, informative and engaging style Suitable for a wide broad range of undergraduates Contains many worked examples and exercises

Full Product Details

Author:   Rita Fioresi ,  Marta Morigi (Università di Bologna, Italy)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.453kg
ISBN:  

9780367635503


ISBN 10:   036763550
Pages:   274
Publication Date:   25 September 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
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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"""With a brief, informative and engaging style, Introduction to Linear Algebra is an ideal curriculum textbook for a wide broad range of undergraduates and comprises many worked examples and exercises."" – Midwest Books Review"


Author Information

Rita Fioresi and Marta Morigi are professors at the University of Bologna and teach linear algebra courses to students of all majors. Their research publications are centered into algebra with some applications (R. Fioresi Lie theory & machine learning, M. Morigi Group theory).

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