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Convex Analysis and Minimization Algorithms I : Fundamentals
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Convex Functions of One Real Variable
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Chapter 2
Introduction to Optimization Algorithms
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Chapter 3
Convex Sets
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Chapter 4
Convex Functions of Several Variables
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Chapter 5
Sublinearity and Support Functions
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Chapter 6
Subdifferentials of Finite Convex Functions
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Chapter 7
Constrained Convex Minimization Problems: Minimality Conditions, Elements of Duality Theory
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Chapter 8
Descent Theory for Convex Minimization: The Case of Complete Information
Overall attention for this book and its chapters
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Mentioned by
syllabi
1
institution with syllabi
Citations
dimensions_citation
962
Dimensions
Readers on
mendeley
10
Mendeley
citeulike
1
CiteULike
Book overview
1. Convex Functions of One Real Variable
2. Introduction to Optimization Algorithms
3. Convex Sets
4. Convex Functions of Several Variables
5. Sublinearity and Support Functions
6. Subdifferentials of Finite Convex Functions
7. Constrained Convex Minimization Problems: Minimality Conditions, Elements of Duality Theory
8. Descent Theory for Convex Minimization: The Case of Complete Information
Summary
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
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1
syllabus from an institution on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Rutgers University-Camden
1
Unknown