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Large-Scale Nonlinear Optimization

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Cover of 'Large-Scale Nonlinear Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Fast Linear Algebra for Multiarc Trajectory Optimization
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    Chapter 2 Lagrange Multipliers with Optimal Sensitivity Properties in Constrained Optimization
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    Chapter 3 An O ( n 2 ) Algorithm for Isotonic Regression
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    Chapter 4 K nitro : An Integrated Package for Nonlinear Optimization
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    Chapter 5 On implicit-factorization constraint preconditioners
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    Chapter 6 Optimal algorithms for large sparse quadratic programming problems with uniformly bounded spectrum
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    Chapter 7 Numerical methods for separating two polyhedra
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    Chapter 8 Exact penalty functions for generalized Nash problems
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    Chapter 9 Parametric Sensitivity Analysis for Optimal Boundary Control of a 3D Reaction-Diffusion System
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    Chapter 10 Projected Hessians for Preconditioning in One-Step One-Shot Design Optimization
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    Chapter 11 Conditions and parametric representations of approximate minimal elements of a set through scalarization
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    Chapter 12 Efficient methods for large-scale unconstrained optimization
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    Chapter 13 A variational approach for minimum cost flow problems
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    Chapter 14 Multi-Objective Optimisation of Expensive Objective Functions with Variable Fidelity Models
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    Chapter 15 Towards the Numerical Solution of a Large Scale PDAE Constrained Optimization Problem Arising in Molten Carbonate Fuel Cell Modeling
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    Chapter 16 The NEWUOA software for unconstrained optimization without derivatives
Attention for Chapter 4: K nitro : An Integrated Package for Nonlinear Optimization
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