Concise Introduction to Linear Algebra (Record no. 4195)

MARC details
000 -LEADER
fixed length control field 01424 a2200313 4500
001 - CONTROL NUMBER
control field 1351697455
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250317111602.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250312042017xx 12 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781351697453
037 ## - SOURCE OF ACQUISITION
Source of stock number/acquisition Taylor & Francis
Terms of availability GBP 47.99
Form of issue BB
040 ## - CATALOGING SOURCE
Original cataloging agency 01
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
072 7# - SUBJECT CATEGORY CODE
Subject category code T
Source thema
072 7# - SUBJECT CATEGORY CODE
Subject category code PBF
Source thema
072 7# - SUBJECT CATEGORY CODE
Subject category code PBW
Source thema
072 7# - SUBJECT CATEGORY CODE
Subject category code T
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code PBF
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code PBW
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code MAT000000
Source bisac
072 7# - SUBJECT CATEGORY CODE
Subject category code MAT002000
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072 7# - SUBJECT CATEGORY CODE
Subject category code MAT003000
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072 7# - SUBJECT CATEGORY CODE
Subject category code 512.5
Source bisac
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Qingwen Hu
245 10 - TITLE STATEMENT
Title Concise Introduction to Linear Algebra
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Chapman and Hall/CRC
Date of publication, distribution, etc. 20170922
300 ## - PHYSICAL DESCRIPTION
Extent 230 p
520 ## - SUMMARY, ETC.
Expansion of summary note Concise Introduction to Linear Algebra deals with the subject of linear algebra, covering vectors and linear systems, vector spaces, orthogonality, determinants, eigenvalues and eigenvectors, singular value decomposition. It adopts an efficient approach to lead students from vectors, matrices quickly into more advanced topics including, LU decomposition, orthogonal decomposition, Least squares solutions, Gram-Schmidt process, eigenvalues and eigenvectors, diagonalizability, spectral decomposition, positive definite matrix, quadratic forms, singular value decompositions and principal component analysis. This book is designed for onesemester teaching to undergraduate students.

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