Bauschke H An Introduction to Convexity, Optimization, and Algorithms 2024
Category: eBooks
- views: 129
- date: 12 May 2024
- posted by: BeMyLove
Bauschke H An Introduction to Convexity, Optimization, and Algorithms 2024 | 14.96 MB
N/A | 192 Pages
Title: An Introduction to Convexity, Optimization, and Algorithms
Author: Heinz H. Bauschke, Walaa M. Moursi
Year: N/A
Description:
A comprehensive introduction to convexity and optimization inRn This book presents the mathematics of finite dimensionalconstrained optimization problems. It provides a basis for thefurther mathematical study of convexity, of more generaloptimization problems, and of numerical algorithms for the solutionof finite dimensional optimization problems. For readers who do nothave the requisite background in real analysis, the author providesa chapter covering this material. The text features abundantexercises and problems designed to lead the reader to a fundamentalunderstanding of the material.
Convexity and Optimization in Rn provides detailed discussionof:
* Requisite topics in real analysis
* Convex sets
* Convex functions
* Optimization problems
* Convex programming and duality
* The simplex method
A detailed bibliography is included for further study and an indexoffers quick reference. Suitable as a text for both graduate andundergraduate students in mathematics and engineering, thisaccessible text is written from extensively class-tested notes.
DOWNLOAD:
https://rapidgator.net/file/6f7d163e351fe0c90ed43f3536fd54b0/Bauschke_H._An_Introduction_to_Convexity_Optimization_and_Algorithms_2024.rar
https://k2s.cc/file/9f067d7f6af48/Bauschke_H._An_Introduction_to_Convexity_Optimization_and_Algorithms_2024.rar
A comprehensive introduction to convexity and optimization inRn This book presents the mathematics of finite dimensionalconstrained optimization problems. It provides a basis for thefurther mathematical study of convexity, of more generaloptimization problems, and of numerical algorithms for the solutionof finite dimensional optimization problems. For readers who do nothave the requisite background in real analysis, the author providesa chapter covering this material. The text features abundantexercises and problems designed to lead the reader to a fundamentalunderstanding of the material.
Convexity and Optimization in Rn provides detailed discussionof:
* Requisite topics in real analysis
* Convex sets
* Convex functions
* Optimization problems
* Convex programming and duality
* The simplex method
A detailed bibliography is included for further study and an indexoffers quick reference. Suitable as a text for both graduate andundergraduate students in mathematics and engineering, thisaccessible text is written from extensively class-tested notes.
DOWNLOAD:
https://rapidgator.net/file/6f7d163e351fe0c90ed43f3536fd54b0/Bauschke_H._An_Introduction_to_Convexity_Optimization_and_Algorithms_2024.rar
https://k2s.cc/file/9f067d7f6af48/Bauschke_H._An_Introduction_to_Convexity_Optimization_and_Algorithms_2024.rar
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