Description

Book Synopsis
This undergraduate textbook on Linear Algebra and n-Dimensional Geometry, in a self-teaching style, is invaluable for sophomore level undergraduates in mathematics, engineering, business, and the sciences. These are classical subjects on which there are many mathematics books in theorem-proof style, but this unique volume has its focus on developing the mathematical modeling as well as computational and algorithmic skills in students at this level. The explanations in this book are detailed, lucid, and supported with numerous well-constructed examples to capture the interest and encourage the student to master the material.

Table of Contents
Methods for Formulating Real World Problems Using Systems of Simultaneous Linear Equations; Algorithms for Analyzing and Solving These Models; Fundamental Concepts in N-Dimensional Geometry, Matrices and Determinants; Eigen Values and Eigen Vectors and Their Importance; Software Systems for Linear Algebra Problems.

Computational And Algorithmic Linear Algebra And

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    A Hardback by Katta Gopalakrishna Murty

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      Publisher: World Scientific Publishing Co Pte Ltd
      Publication Date: Publication Date: 30/09/2014
      ISBN13: 9789814366625, 978-9814366625
      ISBN10: 9814366625

      Description

      Book Synopsis
      This undergraduate textbook on Linear Algebra and n-Dimensional Geometry, in a self-teaching style, is invaluable for sophomore level undergraduates in mathematics, engineering, business, and the sciences. These are classical subjects on which there are many mathematics books in theorem-proof style, but this unique volume has its focus on developing the mathematical modeling as well as computational and algorithmic skills in students at this level. The explanations in this book are detailed, lucid, and supported with numerous well-constructed examples to capture the interest and encourage the student to master the material.

      Table of Contents
      Methods for Formulating Real World Problems Using Systems of Simultaneous Linear Equations; Algorithms for Analyzing and Solving These Models; Fundamental Concepts in N-Dimensional Geometry, Matrices and Determinants; Eigen Values and Eigen Vectors and Their Importance; Software Systems for Linear Algebra Problems.

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