Convex optimization[electronic resource] :introductory course
- 作者: Moklyachuk, Mikhail P.
- 出版: London :Hoboken, NJ : ISTE ;Wiley 2020.
- 稽核項: 1 online resource (263 p.).
- 叢書名: Mathematics and statistics series
- 標題: Mathematical optimization. , Convex functions.
- ISBN: 1119804078 , 9781119804079
- ISBN: 9781786306838
- 試查全文@TNUA:
- 附註: Includes bibliographical references and index.
- 摘要: 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.
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://onlinelibrary.wiley.com/doi/book/10.1002/9781119804093
- 系統號: 005326087
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
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. Convex Optimization provides detailed proofs for most of the results presented in the book and also includes many figures and exercises for a better understanding of the material. Exercises are given at the end of each chapter, with solutions and hints to selected exercises given at the end of the book. Undergraduate and graduate students, researchers in different disciplines, as well as practitioners will all benefit from this accessible approach to convex optimization methods.
來源: Google Book
來源: Google Book
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