Convex Optimization (ePub)
Introductory Course
(Sprache: Englisch)
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...
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Produktinformationen zu „Convex Optimization (ePub)“
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.
Autoren-Porträt von Mikhail Moklyachuk
Mikhail Moklyachuk is Full Professor at the Department ofProbability Theory, Statistics and Actuarial Mathematics,
Taras Shevchenko National University of Kyiv, Ukraine.
Bibliographische Angaben
- Autor: Mikhail Moklyachuk
- 2021, 1. Auflage, 272 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1119804086
- ISBN-13: 9781119804086
- Erscheinungsdatum: 05.01.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 11 MB
- Mit Kopierschutz
Sprache:
Englisch
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