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Quantitative Applications in the Social Sciences #38: Matrix Algebra: An Introduction

by

Quantitative Applications in the Social Sciences #38: Matrix Algebra: An Introduction Cover

 

Synopses & Reviews

Synopsis:

Matrix Algebra is a vital tool for mathematics in the social sciences, and yet many social scientists have only a rudimentary grasp of it. This volume serves as a complete introduction to matrix algebra, requiring no background knowledge beyond basic school algebra. Namboodiri's presentation is smooth and readable: it begins with the basic definitions and goes on to explain elementary manipulations and the concept of linear dependence, eigenvalues, and eigenvectors — supplying illustrations through fully-worked examples.

Synopsis:

Defines basic terms and elementary matrices manipulation, introduces the concept of linear dependence, and explains eigenvalues and eigenvectors with illustrated examples.

Product Details

ISBN:
9780803920521
Introduction:
Niemi, Richard G.
Publisher:
Sage Publications (CA)
Introduction by:
Niemi, Richard G.
Introduction:
Niemi, Richard G.
Author:
Namboodiri, Krishnan
Location:
Beverly Hills :
Subject:
Matrices
Subject:
Mathematics-Linear Algebra
Edition Description:
Bibliography: p. 95.
Series:
Quantitative Applications in the Social Sciences
Series Volume:
38
Publication Date:
19840731
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
96
Dimensions:
7.96x6.00x.22 in. .26 lbs.

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Related Subjects

Health and Self-Help » Health and Medicine » Professional Medical Reference
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Science and Mathematics » Mathematics » Algebra » Linear Algebra
Science and Mathematics » Mathematics » Algebra » Other
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Quantitative Applications in the Social Sciences #38: Matrix Algebra: An Introduction New Trade Paper
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$20.50 In Stock
Product details 96 pages Sage Publications - English 9780803920521 Reviews:
"Synopsis" by , Matrix Algebra is a vital tool for mathematics in the social sciences, and yet many social scientists have only a rudimentary grasp of it. This volume serves as a complete introduction to matrix algebra, requiring no background knowledge beyond basic school algebra. Namboodiri's presentation is smooth and readable: it begins with the basic definitions and goes on to explain elementary manipulations and the concept of linear dependence, eigenvalues, and eigenvectors — supplying illustrations through fully-worked examples.
"Synopsis" by , Defines basic terms and elementary matrices manipulation, introduces the concept of linear dependence, and explains eigenvalues and eigenvectors with illustrated examples.
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