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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Order before 4pm tomorrow for delivery by Sat 27 Dec 2025.

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
    Also in:
    Mathematical and statistical software Algebra

    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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