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High Performance Algorithms and Software for Nonlinear Optimization

Overview of attention for book
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
Attention for Chapter 12: Filter-type Algorithms for Solving Systems of Algebraic Equations and Inequalities
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Citations

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Chapter title
Filter-type Algorithms for Solving Systems of Algebraic Equations and Inequalities
Chapter number 12
Book title
High Performance Algorithms and Software for Nonlinear Optimization
Published by
Springer, Boston, MA, January 2003
DOI 10.1007/978-1-4613-0241-4_12
Book ISBNs
978-1-4613-7956-0, 978-1-4613-0241-4
Authors

Roger Fletcher, Sven Leyffer

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Researcher 2 33%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Mathematics 1 17%
Computer Science 1 17%
Earth and Planetary Sciences 1 17%
Engineering 1 17%
Unknown 2 33%

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