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Convex Analysis and Minimization Algorithms II : Advanced Theory and Bundle Methods
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Inner Construction of the Subdifferential: Towards Implementing Descent Methods
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Chapter 2
Conjugacy in Convex Analysis
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Chapter 3
Approximate Subdifferentials of Convex Functions
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Chapter 4
Abstract Duality for Practitioners
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Chapter 5
Inner Construction of the Approximate Subdifferential: Methods of ε -Descent
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Chapter 6
Dynamic Construction of Approximate Subdifferentials: Dual Form of Bundle Methods
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Chapter 7
Acceleration of the Cutting-Plane Algorithm: Primal Forms of Bundle Methods
Overall attention for this book and its chapters
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Mentioned by
syllabi
1
institution with syllabi
wikipedia
4
Wikipedia pages
Citations
dimensions_citation
669
Dimensions
Readers on
mendeley
2
Mendeley
citeulike
1
CiteULike
Book overview
1. Inner Construction of the Subdifferential: Towards Implementing Descent Methods
2. Conjugacy in Convex Analysis
3. Approximate Subdifferentials of Convex Functions
4. Abstract Duality for Practitioners
5. Inner Construction of the Approximate Subdifferential: Methods of ε -Descent
6. Dynamic Construction of Approximate Subdifferentials: Dual Form of Bundle Methods
7. Acceleration of the Cutting-Plane Algorithm: Primal Forms of Bundle Methods
Summary
Syllabi
Wikipedia
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
1
syllabus from an institution on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Rutgers University-Camden
1
Unknown