Dover Books on Mathematics Ser.: Linear Algebra and Matrix Theory by Robert Roth Stoll (2012, Trade Paperback)

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About this product

Product Identifiers

PublisherDover Publications, Incorporated
ISBN-100486623181
ISBN-139780486623184
eBay Product ID (ePID)2915209

Product Key Features

Number of Pages288 Pages
Publication NameLinear Algebra and Matrix Theory
LanguageEnglish
Publication Year2012
SubjectAlgebra / Linear, Matrices
TypeTextbook
Subject AreaMathematics
AuthorRobert Roth Stoll
SeriesDover Books on Mathematics Ser.
FormatTrade Paperback

Dimensions

Item Weight12 Oz
Item Length8.5 in
Item Width5.5 in

Additional Product Features

Intended AudienceCollege Audience
LCCN75-084703
Dewey Edition18
Dewey Decimal512/.897
SynopsisOne of the best available works on matrix theory in the context of modern algebra, this text bridges the gap between ordinary undergraduate studies and completely abstract mathematics. 1952 edition., One of the best available works on matrix theory in the context of modern algebra, this text bridges the gap between ordinary undergraduate studies and completely abstract mathematics. The first five chapters treat topics important to economics, psychology, statistics, physics, and mathematics. Final chapters apply chiefly to students of engineering, physics, and advanced mathematics. 1952 edition., Advanced undergraduate and first-year graduate students have long regarded this text as one of the best available works on matrix theory in the context of modern algebra. Teachers and students will find it particularly suited to bridging the gap between ordinary undergraduate mathematics and completely abstract mathematics. The first five chapters treat topics important to economics, psychology, statistics, physics, and mathematics. Subjects include equivalence relations for matrixes, postulational approaches to determinants, and bilinear, quadratic, and Hermitian forms in their natural settings. The final chapters apply chiefly to students of engineering, physics, and advanced mathematics. They explore groups and rings, canonical forms for matrixes with respect to similarity via representations of linear transformations, and unitary and Euclidean vector spaces. Numerous examples appear throughout the text.
LC Classification NumberQA263.S8 1969

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