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Nonlinear Optimization and Applications

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Cover of 'Nonlinear Optimization and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Towards a Discrete Newton Method with Memory for Large-Scale Optimization
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    Chapter 2 On Regularity for Generalized Systems and Applications
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    Chapter 3 An Algorithm using Quadratic Interpolation for Unconstrained Derivative Free Optimization
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    Chapter 4 Massively Parallel Solution of Large Scale Network Flow Problems
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    Chapter 5 Correction Theorems for Nonsmooth Systems
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    Chapter 6 Successive Projection Methods for the Solution of Overdetermined Nonlinear Systems
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    Chapter 7 On Exact Augmented Lagrangian Functions in Nonlinear Programming
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    Chapter 8 Space-Transformation Technique: The State of the Art
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    Chapter 9 Inexact Newton Methods for Semismooth Equations with Applications to Variational Inequality Problems
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    Chapter 10 Accessing Realistic Mixed Complementarity Problems within MATLAB
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    Chapter 11 Merit Functions for Variational Inequality and Complementarity Problems
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    Chapter 12 Some Remarks on Penalization for Variational Inequalities and Generalizations
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    Chapter 13 Globally Convergent Online Minimization Algorithms for Neural Network Training
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    Chapter 14 Semismoothness and Superlinear Convergence in Nonsmooth Optimization and Nonsmooth Equations
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    Chapter 15 On the Solution of the Monotone and Nonmonotone Linear Complementarity Problem by an Infeasible Interior-Point Algorithm
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    Chapter 16 Ergodic Results in Subgradient Optimization
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    Chapter 17 Proto-Derivatives and the Geometry of Solution Mappings in Nonlinear Programming
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    Chapter 18 Numerical Results for Unconstrained Optimization without Derivatives
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    Chapter 19 Hierarchical Systems with Weighted Reaction Set
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    Chapter 20 Mathematical Programming in Machine Learning
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    Chapter 21 Smoothing Techniques for Macromolecular Global Optimization
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    Chapter 22 Continuous Approaches to Discrete Optimization Problems
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    Chapter 23 Homotopies Based on Nonsmooth Equations for Solving Nonlinear Variational Inequalities
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    Chapter 24 ABS Methods for KT Equations
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    Chapter 25 Erratum to: On Exact Augmented Lagrangian Functions in Nonlinear Programming
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    Chapter 26 Erratum to: Continuous Approaches to Discrete Optimization Problems
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    Chapter 27 Erratum to: Homotopies Based on Nonsmooth Equations for Solving Nonlinear Variational Inequalities
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    Chapter 28 Erratum to: ABS Methods for KT Equations
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    Chapter 29 Erratum
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Title
Nonlinear Optimization and Applications
Published by
Springer US, November 2013
DOI 10.1007/978-1-4899-0289-4
ISBNs
978-1-4899-0291-7, 978-1-4899-0289-4
Editors

Pillo, G., Giannessi, F.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Researcher 3 25%
Unknown 5 42%
Readers by discipline Count As %
Engineering 4 33%
Mathematics 1 8%
Computer Science 1 8%
Business, Management and Accounting 1 8%
Unknown 5 42%