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Linear Methods
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Linear Methods : A General Education Course

Book Details

Format Hardback or Cased Book
ISBN-10 1138062928
ISBN-13 9781138062924
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date Aug 9th, 2018
Print length 410 Pages
Weight 453 grams
Product Classification: Algebra
Ksh 35,100.00
Werezi Extended Catalogue 0 in stock

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Linear Methods: A General Education Course is expressly written for non-mathematical students, particularly freshmen taking a required core mathematics course. This text encourages students to explore one particular branch of mathematics, elementary linear algebra, in some depth.

Linear Methods: A General Education Course is expressly written for non-mathematical students, particularly freshmen taking a required core mathematics course. Rather than covering a hodgepodge of different topics as is typical for a core mathematics course, this text encourages students to explore one particular branch of mathematics, elementary linear algebra, in some depth. The material is presented in an accessible manner, as opposed to a traditional overly rigorous approach. While introducing students to useful topics in linear algebra, the book also includes a gentle introduction to more abstract facets of the subject.

Many relevant uses of linear algebra in today’s world are illustrated, including applications involving business, economics, elementary graph theory, Markov chains, linear regression and least-squares polynomials, geometric transformations, and elementary physics. The authors have included proofs of various important elementary theorems and properties which provide readers with the reasoning behind these results.

Features:

  • Written for a general education core course in introductory mathematics
  • Introduces elementary linear algebra concepts to non-mathematics majors
  • Provides an informal introduction to elementary proofs involving matrices and vectors
  • Includes useful applications from linear algebra related to business, graph theory, regression, and elementary physics

Authors Bio:

David Hecker is a Professor of Mathematics at Saint Joseph''s University in Philadelphia. He received his Ph.D. from Rutgers University and has published several journal articles. He also co-authored several editions of Elementary Linear Algebra with Stephen Andrilli.

Stephen Andrilli is a Professor in the Mathematics and Computer Science Department at La Salle University in Philadelphia. He received his Ph.D. from Rutgers University and also co-authored several editions of Elementary Linear Algebra with David Hecker.


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