عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
Qualification
hardcover)
Qualification
paperback)
Qualification
ebook)
Qualification
(ebook)
Qualification
hardcover)
Qualification
ebook)
Qualification
ebook)
(Number (ISBN
9789811206399
(Number (ISBN
9789811207716
(Number (ISBN
9789811216565
Erroneous ISBN
9789811206405
Erroneous ISBN
9789811206412
Erroneous ISBN
9789811216589
Erroneous ISBN
9789811216572
NATIONAL BIBLIOGRAPHY NUMBER
Number
4132
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Linear algebra and optimization with applications to machine learning
General Material Designation
[electronic resources]
First Statement of Responsibility
/ Jean Gallier, Jocelyn Quaintance.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New Jersey :
Name of Publisher, Distributor, etc.
World Scientific,
Date of Publication, Distribution, etc.
2020-
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
2 volume
Other Physical Details
: illustrations (some color)
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
CONTENTS NOTE
Text of Note
Volume I. Linear algebra for computer vision, robotics, and machine learning -- Volume II. Fundamentals of optimization theory with applications to machine learning
1
SUMMARY OR ABSTRACT
Text of Note
"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"--
TOPICAL NAME USED AS SUBJECT
Entry Element
Algebras, Linear.
Entry Element
Machine learning--Mathematics.
UNCONTROLLED SUBJECT TERMS
Subject Term
Mathematics.
DEWEY DECIMAL CLASSIFICATION
Edition
23
PERSONAL NAME - PRIMARY RESPONSIBILITY
Entry Element
Gallier, Jean H.,
Relator Code
Author
PERSONAL NAME - SECONDARY RESPONSIBILITY
Entry Element
Quaintance, Jocelyn,
Relator Code
Author
ORIGINATING SOURCE
Country
ایران
Agency
Central Library of the Kurdistan University
Date of Transaction
20210526141658.0
Cataloguing Rules (Descriptive Conventions))
rda
e
BL
280328
a
Y
