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High Performance Algorithms and Software for Nonlinear Optimization

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Cover of 'High Performance Algorithms and Software for Nonlinear Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Quasi-Newton Algorithms for Large-Scale Nonlinear Least-Squares
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    Chapter 2 The Extended Ritz Method in Stochastic Functional Optimization: An example of Dynamic Routing in Traffic Networks
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    Chapter 3 Efficient Serial and Parallel Implementations of the Cutting Angle Method
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    Chapter 4 A globalization strategy for Interior Point Methods for Mixed Complementarity Problems
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    Chapter 5 A Comparative Study of Large-Scale Nonlinear Optimization Algorithms
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    Chapter 6 A Software System for PDE-Constrained Optimization Problems
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    Chapter 7 A truncated SQP algorithm for solving nonconvex equality constrained optimization problems
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    Chapter 8 Newton-Type Methods for the Approximate Solution of Nonlinear Programming Problems in Real-Time
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    Chapter 9 Fruitful uses of smooth exact merit functions in constrained optimization
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    Chapter 10 New perspective on the theorems of alternative
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    Chapter 11 Planar-CG Methods and Matrix Tridiagonalization in Large Scale Unconstrained Optimization
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    Chapter 12 Filter-type Algorithms for Solving Systems of Algebraic Equations and Inequalities
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    Chapter 13 A new algorithm for Solving Large Scale Molecular Distance Geometry Problems
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    Chapter 14 PENNON
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    Chapter 15 Understanding Asynchronous Parallel Pattern Search
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    Chapter 16 Smoothing Techniques for the Solution of Finite and Semi-Infinite Min-Max-Min Problems
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    Chapter 17 Exploiting Optimality Conditions in Accurate Static Circuit Tuning
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    Chapter 18 Efficiency Analysis on a Truncated Newton Method with Preconditioned Conjugate Gradient Technique for Optimization
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Mentioned by

syllabi
1 institution with syllabi

Citations

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Readers on

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2 Mendeley
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Title
High Performance Algorithms and Software for Nonlinear Optimization
Published by
Springer US, December 2013
DOI 10.1007/978-1-4613-0241-4
ISBNs
978-1-4613-0241-4, 978-1-4613-7956-0
Editors

Pillo, Gianni, Murli, Almerico

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Student > Ph. D. Student 1 50%
Readers by discipline Count As %
Business, Management and Accounting 1 50%
Engineering 1 50%