Linear algebra and optimization with applications to machine learning: Linear algebra for computer vision, robotics, and machine learning (Record no. 359209)

MARC details
000 -LEADER
fixed length control field 01458nam a22002177a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250827161350.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250827b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781944660345
040 ## - CATALOGING SOURCE
Transcribing agency AACR-II
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.1 GAL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Gallier, Jean
9 (RLIN) 13649
245 ## - TITLE STATEMENT
Title Linear algebra and optimization with applications to machine learning: Linear algebra for computer vision, robotics, and machine learning
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Singapore
Name of publisher, distributor, etc. World Scientific Publishing
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent 806 p.
520 ## - SUMMARY, ETC.
Summary, etc. This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine Learning
9 (RLIN) 13650
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element (Applied mathematics)
9 (RLIN) 13651
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Quaintance, Jocelyn
9 (RLIN) 13652
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Date last seen Total Checkouts Full call number Barcode Cost, replacement price Price effective from Koha item type Lost status Source of classification or shelving scheme Damaged status Not for loan Withdrawn status Home library Current library Date acquired
2025-08-27   005.1 GAL 179517 2995.00 2025-08-27 Books Not Missing Dewey Decimal Classification Not Damaged     Gandhi Smriti Library Gandhi Smriti Library 2025-08-27

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