Hands-on Matrix Algebra Using R: Active And Motivated Learning With Applications
Author:   Hrishikesh D Vinod (Fordham Univ, Usa)
Publisher:   World Scientific Publishing Co Pte Ltd
ISBN:  

9789814313698


Pages:   348
Publication Date:   06 April 2011
Format:   Paperback
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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Hands-on Matrix Algebra Using R: Active And Motivated Learning With Applications


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Overview

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.

Full Product Details

Author:   Hrishikesh D Vinod (Fordham Univ, Usa)
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
Dimensions:   Width: 15.50cm , Height: 2.00cm , Length: 22.40cm
Weight:   0.522kg
ISBN:  

9789814313698


ISBN 10:   9814313696
Pages:   348
Publication Date:   06 April 2011
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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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