Linear Algebra Done Right (Record no. 75169)

000 -LEADER
fixed length control field 03207nam a22004935i 4500
001 - CONTROL NUMBER
control field 978-3-319-11080-6
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801140103.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 141105s2015 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319110806
-- 978-3-319-11080-6
082 04 - CLASSIFICATION NUMBER
Call Number 512.5
100 1# - AUTHOR NAME
Author Axler, Sheldon.
245 10 - TITLE STATEMENT
Title Linear Algebra Done Right
250 ## - EDITION STATEMENT
Edition statement 3rd ed. 2015.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVII, 340 p. 26 illus. in color.
490 1# - SERIES STATEMENT
Series statement Undergraduate Texts in Mathematics,
520 ## - SUMMARY, ETC.
Summary, etc This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors and graduate students. The novel approach taken here banishes determinants to the end of the book. The text focuses on the central goal of linear algebra: understanding the structure of linear operators on finite-dimensional vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. The third edition contains major improvements and revisions throughout the book. More than 300 new exercises have been added since the previous edition. Many new examples have been added to illustrate the key ideas of linear algebra. New topics covered in the book include product spaces, quotient spaces, and dual spaces. Beautiful new formatting creates pages with an unusually pleasant appearance in both print and electronic versions. No prerequisites are assumed other than the usual demand for suitable mathematical maturity. Thus the text starts by discussing vector spaces, linear independence, span, basis, and dimension. The book then deals with linear maps, eigenvalues, and eigenvectors. Inner-product spaces are introduced, leading to the finite-dimensional spectral theorem and its consequences. Generalized eigenvectors are then used to provide insight into the structure of a linear operator.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-11080-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2015.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Algebras, Linear.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Linear Algebra.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2197-5604
912 ## -
-- ZDB-2-SMA
912 ## -
-- ZDB-2-SXMS

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