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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
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Title
Numerical Optimization
Published by
Springer Berlin Heidelberg, January 2006
DOI 10.1007/978-3-540-35447-5
ISBNs
978-3-54-035445-1, 978-3-54-035447-5
Authors

Joseph-Frédéric Bonnans, Jean Charles Gilbert, Claude Lemarechal, Claudia A. Sagastizábal, Bonnans, J. Frédéric, Gilbert, J. Charles, Lemaréchal, Claude, Sagastizábal, Claudia A, Sagastizábal, Claudia A.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 372 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 1%
France 4 1%
United States 3 <1%
Norway 2 <1%
Portugal 2 <1%
Germany 2 <1%
China 2 <1%
Belgium 2 <1%
Canada 2 <1%
Other 7 2%
Unknown 342 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 121 33%
Researcher 58 16%
Student > Master 41 11%
Professor 18 5%
Student > Doctoral Student 17 5%
Other 50 13%
Unknown 67 18%
Readers by discipline Count As %
Engineering 115 31%
Computer Science 46 12%
Mathematics 41 11%
Earth and Planetary Sciences 15 4%
Physics and Astronomy 12 3%
Other 54 15%
Unknown 89 24%