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Convex optimizationintroductory course /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Convex optimizationMikhail Moklyachuk.
其他題名:	introductory course /
作者:	Moklyachuk, Mikhail P.
出版者:	London :ISTE ;2020.
面頁冊數:	1 online resource (263 p.)
標題:	Mathematical optimization.
電子資源:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781119804093
ISBN:	9781119804093$q(electronic bk. ;$qoBook)

Convex optimizationintroductory 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: 9781119804093$q(electronic bk. ;$qoBook)Subjects--Topical Terms:

183292
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

Convex optimizationintroductory course /
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006 m o d
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020 $a 9781119804093$q(electronic bk. ;$qoBook)
020 $a 1119804094$q(electronic bk. ;$qoBook)
020 $a 9781119804079$q(electronic bk.)
020 $a 1119804078$q(electronic bk.)
020 $z 9781786306838
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041 0 $a eng
050 4 $a QA402.5
082 0 4 $a 519.6 $2 23
100 1 $a Moklyachuk, Mikhail P. $3 931390
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 183292
650 0 $a Convex functions. $3 191128
830 0 $a Oregon State monographs. $p Mathematics and statistics series. $3 754627
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119804093