ARCHBISHOP KAVUKATTU CENTRAL LIBRARY
ONLINE LIBRARY CATALOGUE (OPAC)

Introduction to Linear Algebra / (Record no. 45058)

MARC details
000 -LEADER
fixed length control field 02587nam a22002417a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260831081912.0
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fixed length control field 260831b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-1-7331466-7-8
040 ## - CATALOGING SOURCE
Transcribing agency AKCL
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 515.5
Item number STR-I6
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Strang, Gilbert
245 ## - TITLE STATEMENT
Title Introduction to Linear Algebra /
Statement of responsibility, etc. Gilbert Strang
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. USA:
Name of publisher, distributor, etc. Wellesley-Cambridge Press
300 ## - PHYSICAL DESCRIPTION
Extent p. X,430
520 ## - SUMMARY, ETC.
Summary, etc. The sixth edition of Gilbert Strang's best-selling textbook, Introduction to Linear Algebra, continues to combine serious purpose with a gentle touch, providing an accessible and comprehensive guide to the study of linear algebra. Two of the chapters — the first and the last — deserve special mention.<br/><br/>Chapter 1 emphasizes that matrix-vector multiplication Ax produces a linear combination of the columns of <br/>. Those combinations fill the column space of <br/>, and the idea of linear independence is introduced by examples. The result is to see (for small matrices) the ideas of column rank and row rank and a valuable factorization <br/>.<br/><br/>Later chapters (the heart of the book) develop five great factorizations of a matrix, and they are connected to the four fundamental subspaces that students can work with.<br/><br/>Chapter 10 (the closing chapter) — not reached in a first course but so valuable in modern applications — describes the key ideas of Deep Learning. The learning function (built from training data) is piecewise linear with matrix weights. For unseen data, those same weights give an accurate understanding — and every student knows the importance of these ideas.<br/><br/>New to the Sixth Edition:<br/><br/>Two new chapters on applications of linear algebra to vital modern problems of optimization and learning from data.<br/>Expanded coverage of linear transformations and eigenvectors.<br/>Revised treatment of singular value decomposition with a focus on its applications in data analysis and machine learning.<br/>More examples and exercises, helping students to solidify their understanding of the material.<br/>Professor Strang has taught linear algebra at MIT for more than 50 years, and the course he developed has become a model for teaching around the world. His video lectures on MIT OpenCourseWare have been viewed over ten million times, and his textbooks have been widely adopted.<br/>A publication of Wellesley-Cambridge Press. Distributed within the Americas by the American Mathematical Society.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Algebra
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Linear Algebra
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Reference
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Source of classification or shelving scheme Dewey Decimal Classification
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Suppress in OPAC No
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     ARCHBISHOP KAVUKATTU CENTRAL LIBRARY ARCHBISHOP KAVUKATTU CENTRAL LIBRARY 08/31/2026   515.5 STR-I6 69388 08/31/2026 08/31/2026 Reference