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Convex optimization = introductory c...

Moklyachuk, Mikhail P.

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Convex optimization = introductory course /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Convex optimization/ Mikhail Moklyachuk.
Reminder of title:	introductory course /
Author:	Moklyachuk, Mikhail P.
Published:	London :ISTE ; : 2020.,
Description:	1 online resource (263 p.)
Subject:	Mathematical optimization. -
Online resource:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781119804093
ISBN:	9781119804093

Convex optimization = introductory course /
Moklyachuk, Mikhail P.

Convex optimizationintroductory course /[electronic resource] :Mikhail Moklyachuk. - London :ISTE ;2020. - 1 online resource (263 p.) - Mathematics and statistics series. - Oregon State monographs.Mathematics and statistics series..

Includes bibliographical references and index.

This book provides easy access to the basic principles and methods for solving constrained and unconstrained convex optimization problems. Included are sections that cover: basic methods for solving constrained and unconstrained optimization problems with differentiable objective functions; convex sets and their properties; convex functions and their properties and generalizations; and basic principles of sub-differential calculus and convex programming problems.

ISBN: 9781119804093Subjects--Topical Terms:

517763
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

Convex optimization = introductory course /
LDR:01491cmm a2200301 a 4500 001 2311494
003 OCoLC
005 20210223041503.2
006 m o d
007 cr cnu---unuuu
008 230722s2020 enk ob 001 0 eng d
020 $a 9781119804093 $q (electronic bk. ; $q oBook)
020 $a 1119804094 $q (electronic bk. ; $q oBook)
020 $a 9781119804079 $q (electronic bk.)
020 $a 1119804078 $q (electronic bk.)
020 $z 9781786306838
035 $a 1228046320
040 $a EBLCP $b eng $c EBLCP $d DG1 $d OCLCO
041 0 $a eng
050 4 $a QA402.5
082 0 4 $a 519.6 $2 23
100 1 $a Moklyachuk, Mikhail P. $3 3621074
245 1 0 $a Convex optimization $h [electronic resource] : $b introductory course / $c Mikhail Moklyachuk.
260 $a London : $b ISTE ; $a Hoboken, NJ : $b Wiley, $c 2020.
300 $a 1 online resource (263 p.)
490 1 $a Mathematics and statistics series
504 $a Includes bibliographical references and index.
520 $a This book provides easy access to the basic principles and methods for solving constrained and unconstrained convex optimization problems. Included are sections that cover: basic methods for solving constrained and unconstrained optimization problems with differentiable objective functions; convex sets and their properties; convex functions and their properties and generalizations; and basic principles of sub-differential calculus and convex programming problems.
588 $a Description based on print version record.
650 0 $a Mathematical optimization. $3 517763
650 0 $a Convex functions. $3 544201
830 0 $a Oregon State monographs. $p Mathematics and statistics series. $3 2204559
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119804093