國立高雄大學圖資館 |

Language: English

Back

Linear algebra and optimization with...

Gallier, Jean H.,

Linear algebra and optimization with applications to machine learning /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Linear algebra and optimization with applications to machine learning /Jean Gallier, Jocelyn Quaintance.
Author:	Gallier, Jean H.,
other author:	Quaintance, Jocelyn,
Description:	volume :illustrations (some color) ;24 cm
Subject:	Algebras, Linear.
ISBN:	9789811206399

Linear algebra and optimization with applications to machine learning /
Gallier, Jean H.,

Linear algebra and optimization with applications to machine learning /Jean Gallier, Jocelyn Quaintance. - volume :illustrations (some color) ;24 cm

Includes bibliographical references and index.

Volume I. Linear algebra for computer vision, robotics, and machine learning -- Volume II. Fundamentals of optimization theory with applications to machine learning

"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"--

ISBN: 9789811206399

Standard No.: cam 22003618i 4500

LCCN: 2020001727Subjects--Topical Terms:

183087
Algebras, Linear.

LC Class. No.: QA184.2 / .G35 2020

Dewey Class. No.: 512/.5

Linear algebra and optimization with applications to machine learning /
LDR:02494nam a2200373 a 4500 001 588024
005 20201229163605.0
008 210420m20209999nju b 001 0 eng
010 $a 2020001727
020 $a 9789811206399 $q (volume 1 ; $q hardcover)
020 $a 9789811207716 $q (volume 1 ; $q paperback)
020 $z 9789811206405 $q (volume 1 ; $q ebook)
020 $z 9789811206412 $q (ebook)
020 $a 9789811216565 $q (volume 2 ; $q hardcover)
020 $z 9789811216589 $q (volume 2 ; $q ebook)
020 $z 9789811216572 $q (volume 2 ; $q ebook)
024 5 8 $a cam 22003618i 4500
035 $a 21503706
040 $a LBSOR/DLC $b eng $c DLC $e rda $d DLC
042 $a pcc
050 0 0 $a QA184.2 $b .G35 2020
082 0 0 $a 512/.5 $2 23
100 1 $a Gallier, Jean H., $e author. $3 879467
245 1 0 $a Linear algebra and optimization with applications to machine learning / $c Jean Gallier, Jocelyn Quaintance.
264 1 $a New Jersey : $b World Scientific, $c [2020]-
300 $a volume : $b illustrations (some color) ; $c 24 cm
336 $a text $b txt $2 rdacontent
337 $a unmediated $b n $2 rdamedia
338 $a volume $b nc $2 rdacarrier
504 $a Includes bibliographical references and index.
505 1 $a Volume I. Linear algebra for computer vision, robotics, and machine learning -- Volume II. Fundamentals of optimization theory with applications to machine learning
520 $a "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"-- $c Provided by publisher.
650 0 $a Algebras, Linear. $3 183087
650 0 $a Machine learning $x Mathematics. $3 857106
700 1 $a Quaintance, Jocelyn, $e author. $3 879468
906 $a 7 $b cbc $c orignew $d 1 $e ecip $f 20 $g y-gencatlg
925 0 $a acquire $b 1 shelf copy $x policy default
955 $b LBSOR 2020-04-05 $e rl02 2020-04-17 (telework) to Dewey $w xm06 2020-04-20 (TW situational) $c rl12 2020-04-22 added v.2 CIP $a xf14 2020-09-24 1 copy rec'd., to CIP ver. $a rl00 2020-10-23 to SMA $f rl02 2020-12-29 (TW Situational)
985 $a LBSORCIP $d 2020-04-05