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Introduction to Linear Algebra

Rita Fioresi

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      FORMAT: Paperback / softback

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      Format: Paperback / softback

      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
      CONTRIBUTORS: Rita Fioresi EAN: 9780367635503 COUNTRY: United Kingdom PAGES: WEIGHT: 0 g HEIGHT: 254 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2023-09-25 CITY: GENRE: WIDTH: 178 cm SPINE:

      Book Themes:

      Format: Paperback / softback

      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
      CONTRIBUTORS: Rita Fioresi EAN: 9780367635503 COUNTRY: United Kingdom PAGES: WEIGHT: 0 g HEIGHT: 254 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2023-09-25 CITY: GENRE: WIDTH: 178 cm SPINE:

      Book Themes:

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      Rita Fioresi and Marta Morigi are professors at the University of Bologna and teach linearalgebra 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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