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List of works by Philippe Toint

A Derivative-Free Algorithm for Sparse Unconstrained Optimization Problems

A Filter-Trust-Region Method for Unconstrained Optimization

article by Nick I. M. Gould et al published January 2005 in SIAM Journal on Optimization

A Globally Convergent Augmented Lagrangian Algorithm for Optimization with General Constraints and Simple Bounds

article by Andrew R. Conn et al published April 1991 in SIAM Journal on Numerical Analysis

A Linesearch Algorithm with Memory for Unconstrained Optimization

A Model of Weekly Labor Participation for a Belgian Synthetic Population

article

A Multidimensional Filter Algorithm for Nonlinear Equations and Nonlinear Least-Squares

article by Nicholas I. M. Gould et al published January 2004 in SIAM Journal on Optimization

A Note on Using Performance and Data Profiles for Training Algorithms

scientific article published on 19 April 2019

A Stochastic and Flexible Activity Based Model for Large Population. Application to Belgium

article

A filter-trust-region method for simple-bound constrained optimization

article by Caroline Sainvitu & Philippe L. Toint published October 2007 in Optimization Methods and Software

A multilevel algorithm for solving the trust-region subproblem

article by Philippe L. Toint et al published April 2009 in Optimization Methods and Software

A note about the complexity of minimizing Nesterov's smooth Chebyshev–Rosenbrock function

A note on the convergence of barrier algorithms to second-order necessary points

A primal-dual algorithm for minimizing a non-convex function subject to bound and linear equality constraints

scholarly article published 2000

A primal-dual trust-region algorithm for non-convex nonlinear programming

article by Andrew R. Conn et al published 1 April 2000 in Mathematical Programming

A retrospective trust-region method for unconstrained optimization

article by Fabian Bastin et al published 19 December 2008 in Mathematical Programming

Adaptive Regularization Algorithms with Inexact Evaluations for Nonconvex Optimization ⬇️

scholarly article

Adaptive cubic regularisation methods for unconstrained optimization. Part I: motivation, convergence and numerical results

Adaptive cubic regularisation methods for unconstrained optimization. Part II: worst-case function- and derivative-evaluation complexity

An Algorithm using Quadratic Interpolation for Unconstrained Derivative Free Optimization

An Assessment of Nonmonotone Linesearch Techniques for Unconstrained Optimization

An Interior-Point ℓ 1 $$\boldsymbol{\ell_{1}}$$ -Penalty Method for Nonlinear Optimization

An active-set trust-region method for derivative-free nonlinear bound-constrained optimization

article by Serge Gratton et al published October 2011 in Optimization Methods and Software

An adaptive Monte Carlo algorithm for computing mixed logit estimators

An interior-point trust-funnel algorithm for nonlinear optimization

article by Frank E. Curtis et al published 7 April 2016 in Mathematical Programming

An iterative working-set method for large-scale nonconvex quadratic programming

Application of an adaptive Monte Carlo algorithm to mixed logit estimation

Approximate norm descent methods for constrained nonlinear systems

article by Benedetta Morini et al published 11 May 2017 in Mathematics of Computation

Approximating Hessians in unconstrained optimization arising from discretized problems

BFO, A Trainable Derivative-free Brute Force Optimizer for Nonlinear Bound-constrained Optimization and Equilibrium Computations with Continuous and Discrete Variables

article by Margherita Porcelli & Philippe L. Toint published 28 June 2017 in ACM Transactions on Mathematical Software

Book review

CUTEr and SifDec

CUTEst: a Constrained and Unconstrained Testing Environment with safe threads for mathematical optimization

article by Nicholas I. M. Gould et al published 24 August 2014 in Computational Optimization and Applications

Componentwise fast convergence in the solution of full-rank systems of nonlinear equations

article published in 2002

Convergence theory for nonconvex stochastic programming with an application to mixed logit

article published in 2006

Differentiating the Method of Conjugate Gradients

Estimating Nonparametric Random Utility Models with an Application to the Value of Time in Heterogeneous Populations

article

Evaluation complexity of adaptive cubic regularization methods for convex unconstrained optimization

Exploiting Problem Structure in Derivative Free Optimization

scientific article published on 16 February 2022

FILTRANE, a Fortran 95 filter-trust-region package for solving nonlinear least-squares and nonlinear feasibility problems

article by Nicholas I. M. Gould & Philippe L. Toint published 1 March 2007 in ACM Transactions on Mathematical Software

Fast regularized linear sampling for inverse scattering problems

Formulation and solution strategies for nonparametric nonlinear stochastic programmes with an application in finance

From Average Travel Time Budgets to Daily Travel Time Distributions

scientific article published in 2006

From Average Travel Time Budgets to Daily Travel Time Distributions: Appraisal of Two Conjectures by Kölbl and Helbing and Some Consequences

GALAHAD, a library of thread-safe Fortran 90 packages for large-scale nonlinear optimization

Global Convergence of a Hybrid Trust-Region SQP-Filter Algorithm for General Nonlinear Programming

article by Nick Gould & Philippe L. Toint published 2003 in IFIP Advances in Information and Communication Technology

Global Convergence of a Non-monotone Trust-Region Filter Algorithm for Nonlinear Programming

scholarly article

Global Convergence of a Trust-Region SQP-Filter Algorithm for General Nonlinear Programming

article by Roger Fletcher et al published January 2002 in SIAM Journal on Optimization

Guaranteeing the convergence of the saddle formulation for weakly constrained 4D‐Var data assimilation

scholarly article

Improving the Decomposition of Partially Separable Functions in the Context of Large-Scale Optimization: a First Approach

Large-scale Nonlinear Constrained Optimization: a Current Survey

scholarly article published 1994

Les enquêtes sur les comportements de mobilité, et après ?

Non-monotone trust-region algorithms for nonlinear optimization subject to convex constraints

scholarly article by Philippe L. Toint published June 1997 in Mathematical Programming

Nonlinear stepsize control, trust regions and regularizations for unconstrained optimization

article by Philippe L. Toint published February 2013 in Optimization Methods and Software

Numerical Methods for Large-Scale Non-Convex Quadratic Programming

Numerical experience with a recursive trust-region method for multilevel nonlinear bound-constrained optimization

article by Serge Gratton et al published June 2010 in Optimization Methods and Software

Numerical methods for large-scale nonlinear optimization

Obituary for Mike Powell

Observation thinning in data assimilation computations

On The Overspecification of Multinomial and Nested Logit Models Due to Alternative Specific Constants

On the Evaluation Complexity of Composite Function Minimization with Applications to Nonconvex Nonlinear Programming

On the Evaluation Complexity of Constrained Nonlinear Least-Squares and General Constrained Nonlinear Optimization Using Second-Order Methods

article by Coralia Cartis et al published January 2015 in SIAM Journal on Numerical Analysis

On the Evaluation Complexity of Cubic Regularization Methods for Potentially Rank-Deficient Nonlinear Least-Squares Problems and Its Relevance to Constrained Nonlinear Optimization

article by Coralia Cartis et al published January 2013 in SIAM Journal on Optimization

On the Global Convergence of a Filter--SQP Algorithm

article published in 2002

On the Oracle Complexity of First-Order and Derivative-Free Algorithms for Smooth Nonconvex Minimization

scholarly article by Coralia Cartis et al published January 2012 in SIAM Journal on Optimization

On the complexity of finding first-order critical points in constrained nonlinear optimization

article by Coralia Cartis et al published 8 December 2012 in Mathematical Programming

Optimizing partially separable functions without derivatives

PACSIM: A New Dynamic Behavioural Model for Multimodal Traffic Assignment

article

Preconditioning and globalizing conjugate gradients in dual space for quadratically penalized nonlinear-least squares problems

article by Serge Gratton et al published 21 March 2012 in Computational Optimization and Applications

Preface

Preprocessing for quadratic programming

Recognizing underlying sparsity in optimization

Recursive Trust-Region Methods for Multiscale Nonlinear Optimization

article by Serge Gratton et al published January 2008 in SIAM Journal on Optimization

SQP Methods for Large-Scale Nonlinear Programming

SVD-tail: a new linear-sampling reconstruction method for inverse scattering problems

Second-Order Optimality and Beyond: Characterization and Evaluation Complexity in Convexly Constrained Nonlinear Optimization

scholarly article by Coralia Cartis et al published 7 September 2017 in Foundations of Computational Mathematics

Simple examples for the failure of Newton’s method with line search for strictly convex minimization

Solving the Trust-Region Subproblem using the Lanczos Method

article by Nicholas I. M. Gould et al published January 1999 in SIAM Journal on Optimization

Stopping rules and backward error analysis for bound-constrained optimization

article by Serge Gratton et al published 7 April 2011 in Numerische Mathematik

Superlinear Convergence of Primal-Dual Interior Point Algorithms for Nonlinear Programming

scholarly article by Nicholas I. M. Gould et al published January 2001 in SIAM Journal on Optimization

Synthetic Population Generation Without a Sample

Testing a class of methods for solving minimization problems with simple bounds on the variables

article by Andrew R. Conn et al published 1 May 1988 in Mathematics of Computation

Transfers to Sustain Dynamic Core-Theoretic Cooperation in International Stock Pollutant Control

Transfers to sustain dynamic core-theoretic cooperation in international stock pollutant control

Transferts financiers et optimum coopératif international en matière de pollutions-stocks

Trust Region Methods

scholarly article published January 2000

Universal Regularization Methods: Varying the Power, the Smoothness and the Accuracy

scholarly article

Using approximate secant equations in limited memory methods for multilevel unconstrained optimization

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