Description

Book Synopsis
This is the first book of its kind which teaches matrix algebra, allowing the student to learn the material by actually working with matrix objects in modern computer environment of R. Instead of a calculator, R is a vastly more powerful free software and graphics system.The book provides a comprehensive overview of matrix theory without being bogged down in proofs or tedium. The reader can check each matrix result with numerical examples of exactly what they mean and understand their implications. The book does not shy away from advanced topics, especially the ones with practical applications.

Table of Contents
R Preliminaries; Elementary Geometry and Algebra Using R; Vector Spaces; Matrix Basics and R Software; Determinant and Singularity; The Rank and Trace of a Matrix; Matrix Inverse and Solution of Linear Equations.

Hands-on Matrix Algebra Using R: Active And

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    £43.70

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    RRP £46.00 – you save £2.30 (5%)

    Order before 4pm today for delivery by Fri 19 Jun 2026.

    A Paperback / softback by Hrishikesh D Vinod

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      View other formats and editions of Hands-on Matrix Algebra Using R: Active And by Hrishikesh D Vinod

      Publisher: World Scientific Publishing Co Pte Ltd
      Publication Date: 06/04/2011
      ISBN13: 9789814313698, 978-9814313698
      ISBN10: 9814313696

      Description

      Book Synopsis
      This is the first book of its kind which teaches matrix algebra, allowing the student to learn the material by actually working with matrix objects in modern computer environment of R. Instead of a calculator, R is a vastly more powerful free software and graphics system.The book provides a comprehensive overview of matrix theory without being bogged down in proofs or tedium. The reader can check each matrix result with numerical examples of exactly what they mean and understand their implications. The book does not shy away from advanced topics, especially the ones with practical applications.

      Table of Contents
      R Preliminaries; Elementary Geometry and Algebra Using R; Vector Spaces; Matrix Basics and R Software; Determinant and Singularity; The Rank and Trace of a Matrix; Matrix Inverse and Solution of Linear Equations.

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