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Numerical Optimization

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Cover of 'Numerical Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 General Introduction
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    Chapter 2 Basic Methods
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    Chapter 3 Line-Searches
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    Chapter 4 Newtonian Methods
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    Chapter 5 Conjugate Gradient
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    Chapter 6 Special Methods
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    Chapter 7 A Case Study: Seismic Reection Tomography
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    Chapter 8 Introduction to Nonsmooth Optimization
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    Chapter 9 Some Methods in Nonsmooth Optimization
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    Chapter 10 Bundle Methods. The Quest for Descent
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    Chapter 11 Applications of Nonsmooth Optimization
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    Chapter 12 Computational Exercises
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    Chapter 13 Background
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    Chapter 14 Local Methods for Problems with Equality Constraints
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    Chapter 15 Local Methods for Problems with Equality and InequalityConstraints
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    Chapter 16 Exact Penalization
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    Chapter 17 Globalization by Line-Search
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    Chapter 18 Quasi-Newton Versions
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    Chapter 19 Linearly Constrained Optimization and SimplexAlgorithm
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    Chapter 20 Linear Monotone Complementarity and Associated Vector Fields
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    Chapter 21 Predictor-Corrector Algorithms
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    Chapter 22 Non-Feasible Algorithms
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    Chapter 23 Self-Duality
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    Chapter 24 One-Step Methods
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    Chapter 25 Complexity of Linear Optimization Problems with Integer Data
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    Chapter 26 Karmarkar's Algorithm
Attention for Chapter 8: Introduction to Nonsmooth Optimization
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31 Mendeley
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Chapter title
Introduction to Nonsmooth Optimization
Chapter number 8
Book title
Numerical Optimization
Published by
Springer, Berlin, Heidelberg, January 2006
DOI 10.1007/978-3-540-35447-5_8
Book ISBNs
978-3-54-035445-1, 978-3-54-035447-5
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 13%
Researcher 4 13%
Student > Ph. D. Student 4 13%
Professor > Associate Professor 3 10%
Student > Bachelor 3 10%
Other 5 16%
Unknown 8 26%
Readers by discipline Count As %
Computer Science 8 26%
Engineering 6 19%
Mathematics 4 13%
Agricultural and Biological Sciences 2 6%
Business, Management and Accounting 1 3%
Other 3 10%
Unknown 7 23%