Stephen J. Wright

CoRR, 2024

Extending the Reach of First-Order Algorithms for Nonconvex Min-Max Problems with Cohypomonotonicity.

[BibT_eX]

[DOI]

Ahmet Alacaoglu

Donghwan Kim

CoRR, 2024

Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Optimal experimental design via gradient flow.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Adversarial classification via distributional robustness with Wasserstein ambiguity.

[BibT_eX]

[DOI]

Nam Ho-Nguyen

Math. Program., April, 2023

Special Issue: Hierarchical Optimization.

[BibT_eX]

[DOI]

Math. Program., April, 2023

A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees.

[BibT_eX]

[DOI]

Michael O'Neill

J. Mach. Learn. Res., 2023

Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints.

[BibT_eX]

[DOI]

Ahmet Alacaoglu

CoRR, 2023

A randomized algorithm for nonconvex minimization with inexact evaluations and complexity guarantees.

[BibT_eX]

[DOI]

Shuyao Li

CoRR, 2023

Accelerating optimization over the space of probability measures.

[BibT_eX]

[DOI]

CoRR, 2023

Correcting auto-differentiation in neural-ODE training.

[BibT_eX]

[DOI]

CoRR, 2023

On optimal bases for multiscale PDEs and Bayesian homogenization.

[BibT_eX]

[DOI]

CoRR, 2023

Differentially Private Optimization for Smooth Nonconvex ERM.

[BibT_eX]

[DOI]

Changyu Gao

CoRR, 2023

Multi-output multilevel best linear unbiased estimators via semidefinite programming.

[BibT_eX]

[DOI]

Matteo Croci

Karen E. Willcox

CoRR, 2023

Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Manifold Learning and Nonlinear Homogenization.

[BibT_eX]

[DOI]

Multiscale Model. Simul., September, 2022

Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

On the Complexity of a Practical Primal-Dual Coordinate Method.

[BibT_eX]

[DOI]

Ahmet Alacaoglu

Volkan Cevher

CoRR, 2022

Coordinate Linear Variance Reduction for Generalized Linear Programming.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Parallelizing Subgradient Methods for the Lagrangian Dual in Stochastic Mixed-Integer Programming.

[BibT_eX]

[DOI]

INFORMS J. Optim., January, 2021

Trust-Region Newton-CG with Strong Second-Order Complexity Guarantees for Nonconvex Optimization.

[BibT_eX]

[DOI]

SIAM J. Optim., 2021

A Low-Rank Schwarz Method for Radiative Transfer Equation With Heterogeneous Scattering Coefficient.

[BibT_eX]

[DOI]

Multiscale Model. Simul., 2021

Complexity of Proximal Augmented Lagrangian for Nonconvex Optimization with Nonlinear Equality Constraints.

[BibT_eX]

[DOI]

Yue Xie

J. Sci. Comput., 2021

Variable Smoothing for Weakly Convex Composite Functions.

[BibT_eX]

[DOI]

Axel Böhm

J. Optim. Theory Appl., 2021

Low-rank approximation for multiscale PDEs.

[BibT_eX]

[DOI]

CoRR, 2021

A reduced order Schwarz method for nonlinear multiscale elliptic equations based on two-layer neural networks.

[BibT_eX]

[DOI]

CoRR, 2021

On the Global Convergence of Gradient Descent for multi-layer ResNets in the mean-field regime.

[BibT_eX]

[DOI]

CoRR, 2021

Randomized Algorithms for Scientific Computing (RASC).

[BibT_eX]

[DOI]

Per-Gunnar Martinsson

CoRR, 2021

Industrial, large-scale model predictive control with structured neural networks.

[BibT_eX]

[DOI]

Pratyush Kumar

Comput. Chem. Eng., 2021

Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums.

[BibT_eX]

[DOI]

Chaobing Song

Jelena Diakonikolas

Proceedings of the 38th International Conference on Machine Learning, 2021

Random Coordinate Langevin Monte Carlo.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2021

Random Coordinate Underdamped Langevin Monte Carlo.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Random Sampling and Efficient Algorithms for Multiscale PDEs.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2020

Structured Random Sketching for PDE Inverse Problems.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2020

A Newton-CG algorithm with complexity guarantees for smooth unconstrained optimization.

[BibT_eX]

[DOI]

Clément W. Royer

Michael O'Neill

Math. Program., 2020

Randomness and permutations in coordinate descent methods.

[BibT_eX]

[DOI]

Math. Program., 2020

Analyzing random permutations for cyclic coordinate descent.

[BibT_eX]

[DOI]

Math. Comput., 2020

Randomized Sampling for Basis Function Construction in Generalized Finite Element Methods.

[BibT_eX]

[DOI]

Multiscale Model. Simul., 2020

Inexact Variable Metric Stochastic Block-Coordinate Descent for Regularized Optimization.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2020

2019

Predicting kinase inhibitors using bioactivity matrix derived informer sets.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2019

Behavior of accelerated gradient methods near critical points of nonconvex functions.

[BibT_eX]

[DOI]

Michael O'Neill

Math. Program., 2019

A discrete least squares collocation method for two-dimensional nonlinear time-dependent partial differential equations.

[BibT_eX]

[DOI]

J. Comput. Phys., 2019

Efficient optimization of natural resonance theory weightings and bond orders by gram-based convex programming.

[BibT_eX]

[DOI]

Eric D. Glendening

Frank Weinhold

J. Comput. Chem., 2019

Interleaved Composite Quantization for High-Dimensional Similarity Search.

[BibT_eX]

[DOI]

Soroosh Khoram

Jing Li

CoRR, 2019

A Distributed Quasi-Newton Algorithm for Primal and Dual Regularized Empirical Risk Minimization.

[BibT_eX]

[DOI]

CoRR, 2019

Schwarz iteration method for elliptic equation with rough media based on random sampling.

[BibT_eX]

[DOI]

Ke Chen

Qin Li

CoRR, 2019

A low-rank Schwarz method for radiative transport equation with heterogeneous scattering coefficient.

[BibT_eX]

[DOI]

CoRR, 2019

Convergence and Margin of Adversarial Training on Separable Data.

[BibT_eX]

[DOI]

Zachary Charles

Shashank Rajput

Dimitris S. Papailiopoulos

CoRR, 2019

Inexact Successive quadratic approximation for regularized optimization.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2019

First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Bilinear Bandits with Low-rank Structure.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Blended Conditonal Gradients.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

PMU Placement for Line Outage Identification via Multinomial Logistic Regression.

[BibT_eX]

[DOI]

Taedong Kim

IEEE Trans. Smart Grid, 2018

Complexity Analysis of Second-Order Line-Search Algorithms for Smooth Nonconvex Optimization.

[BibT_eX]

[DOI]

Clément W. Royer

Dimitris S. Papailiopoulos

SIAM J. Optim., 2018

Blended Conditional Gradients: the unconditioning of conditional gradients.

[BibT_eX]

[DOI]

CoRR, 2018

Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

ATOMO: Communication-efficient Learning via Atomic Sparsification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs.

[BibT_eX]

[DOI]

Bin Hu

Laurent Lessard

Proceedings of the 35th International Conference on Machine Learning, 2018

Training Set Debugging Using Trusted Items.

[BibT_eX]

[DOI]

Xuezhou Zhang

Xiaojin Zhu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Online Learning for Changing Environments using Coin Betting.

[BibT_eX]

[DOI]

CoRR, 2017

Using Neural Networks to Detect Line Outages from PMU Data.

[BibT_eX]

[DOI]

CoRR, 2017

k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Improved Strongly Adaptive Online Learning using Coin Betting.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Analyzing Vulnerability of Power Systems with Continuous Optimization Formulations.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2016

Big Data: Theoretical Aspects [Scanning the Issue].

[BibT_eX]

[DOI]

Simon Haykin

Yoshua Bengio

Proc. IEEE, 2016

A proximal method for composite minimization.

[BibT_eX]

[DOI]

Adrian S. Lewis

Math. Program., 2016

An accelerated randomized Kaczmarz algorithm.

[BibT_eX]

[DOI]

Math. Comput., 2016

Online algorithms for factorization-based structure from motion.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2016

Efficient Bregman Projections onto the Permutahedron and Related Polytopes.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

A Fast and Reliable Policy Improvement Algorithm.

[BibT_eX]

[DOI]

Yasin Abbasi-Yadkori

Peter L. Bartlett

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Forward-Backward Greedy Algorithms for Atomic Norm Regularization.

[BibT_eX]

[DOI]

Nikhil Rao

Parikshit Shah

IEEE Trans. Signal Process., 2015

Asynchronous Stochastic Coordinate Descent: Parallelism and Convergence Properties.

[BibT_eX]

[DOI]

SIAM J. Optim., 2015

Coordinate descent algorithms.

[BibT_eX]

[DOI]

Math. Program., 2015

An asynchronous parallel stochastic coordinate descent algorithm.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2015

Local Convergence of an Algorithm for Subspace Identification from Partial Data.

[BibT_eX]

[DOI]

Laura Balzano

Found. Comput. Math., 2015

2014

Research Spotlights.

[BibT_eX]

[DOI]

SIAM Rev., 2014

An Asynchronous Parallel Randomized Kaczmarz Algorithm.

[BibT_eX]

[DOI]

Srikrishna Sridhar

CoRR, 2014

Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Forward - Backward greedy algorithms for signal demixing.

[BibT_eX]

[DOI]

Nikhil Rao

Parikshit Shah

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

Optimization Algorithms and Applications for Speech and Language Processing.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 2013

Packing Ellipsoids with Overlap.

[BibT_eX]

[DOI]

Caroline Uhler

SIAM Rev., 2013

An Approximate, Efficient Solver for LP Rounding.

[BibT_eX]

[DOI]

CoRR, 2013

An Approximate, Efficient LP Solver for LP Rounding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Optimization in learning and data analysis.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

A greedy forward-backward algorithm for atomic norm constrained minimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

On GROUSE and incremental SVD.

[BibT_eX]

[DOI]

Laura Balzano

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012

Accelerated Block-coordinate Relaxation for Regularized Optimization.

[BibT_eX]

[DOI]

SIAM J. Optim., 2012

Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2012

Optimizing financial effects of HIE: a multi-party linear programming approach.

[BibT_eX]

[DOI]

Srikrishna Sridhar

Patricia Flatley Brennan

Stephen M. Robinson

J. Am. Medical Informatics Assoc., 2012

Robust Dequantized Compressive Sensing

[BibT_eX]

[DOI]

CoRR, 2012

The partitioned LASSO-patternsearch algorithm with application to gene expression data.

[BibT_eX]

[DOI]

BMC Bioinform., 2012

ASSET: Approximate Stochastic Subgradient Estimation Training for Support Vector Machines.

[BibT_eX]

Proceedings of the ICPRAM 2012, 2012

Overview of large scale optimization for discriminative training in speech recognition.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

Identifying Activity.

[BibT_eX]

[DOI]

Adrian S. Lewis

SIAM J. Optim., 2011

Conditions under which suboptimal nonlinear MPC is inherently robust.

[BibT_eX]

[DOI]

Syst. Control. Lett., 2011

Approximate Stochastic Subgradient Estimation Training for Support Vector Machines

[BibT_eX]

[DOI]

CoRR, 2011

Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Manifold Identification of Dual Averaging Methods for Regularized Stochastic Online Learning.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

Convex approaches to model wavelet sparsity patterns.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Inherently robust suboptimal nonlinear MPC: Theory and application.

[BibT_eX]

[DOI]

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010

Cooperative distributed model predictive control.

[BibT_eX]

[DOI]

Syst. Control. Lett., 2010

Computational Methods for Sparse Solution of Linear Inverse Problems.

[BibT_eX]

[DOI]

Joel A. Tropp

Proc. IEEE, 2010

Duality-based algorithms for total-variation-regularized image restoration.

[BibT_eX]

[DOI]

Mingqiang Zhu

Tony F. Chan

Comput. Optim. Appl., 2010

Optimization Methods for Selecting Founder Populations for Captive Breeding of Endangered Species.

[BibT_eX]

[DOI]

Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010

Hierarchical cooperative distributed model predictive control.

[BibT_eX]

[DOI]

Brett T. Stewart

Proceedings of the American Control Conference, 2010

2009

Sparse reconstruction by separable approximation.

[BibT_eX]

[DOI]

Robert D. Nowak

Mário A. T. Figueiredo

IEEE Trans. Signal Process., 2009

An accelerated Newton method for equations with semismooth Jacobians and nonlinear complementarity problems.

[BibT_eX]

[DOI]

Christina Oberlin

Math. Program., 2009

Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Decomposition Algorithms for Training Large-Scale Semiparametric Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

2008

Distributed MPC Strategies With Application to Power System Automatic Generation Control.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2008

Optimal design of thermally stable proteins.

[BibT_eX]

[DOI]

Ryan M. Bannen

Vanitha Suresh

George N. Phillips Jr.

Julie C. Mitchell

Bioinform., 2008

Power Awareness in Network Design and Routing.

[BibT_eX]

[DOI]

Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008

2007

Global optimization in protein docking using clustering, underestimation and semidefinite programming.

[BibT_eX]

[DOI]

Roummel F. Marcia

Julie C. Mitchell

Optim. Methods Softw., 2007

Elastic-mode algorithms for mathematical programs with equilibrium constraints: global convergence and stationarity properties.

[BibT_eX]

[DOI]

Mihai Anitescu

Paul Tseng

Math. Program., 2007

Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems.

[BibT_eX]

[DOI]

Mário A. T. Figueiredo

Robert D. Nowak

J. Sel. Topics Signal Processing, 2007

Dissimilarity in Graph-Based Semi-Supervised Classification.

[BibT_eX]

[DOI]

Andrew B. Goldberg

Xiaojin Zhu

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

An Optimization Framework for Conformal Radiation Treatment Planning.

[BibT_eX]

[DOI]

INFORMS J. Comput., 2007

Fast, large-scale model predictive control by partial enumeration.

[BibT_eX]

[DOI]

Autom., 2007

Creating operations research models to guide RHIO decision making.

[BibT_eX]

[DOI]

Michael C. Ferris

Patricia Flatley Brennan

Proceedings of the AMIA 2007, 2007

Linear programming with MATLAB.

[BibT_eX]

Michael C. Ferris

Olvi L. Mangasarian

MPS-SIAM series on optimization 7, SIAM, ISBN: 978-0-89871-643-6, 2007

2006

Active Set Identification in Nonlinear Programming.

[BibT_eX]

[DOI]

Christina Oberlin

SIAM J. Optim., 2006

Linear programing formulations and algorithms for radiotherapy treatment planning.

[BibT_eX]

[DOI]

Arinbjörn Ólafsson

Optim. Methods Softw., 2006

The empirical behavior of sampling methods for stochastic programming.

[BibT_eX]

[DOI]

Jeff T. Linderoth

Alexander Shapiro

Ann. Oper. Res., 2006

Approximating StreamingWindow Joins Under CPU Limitations.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Data Engineering, 2006

Distributed Output Feedback MPC for Power System Control.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Implementable distributed model predictive control with guaranteed performance properties.

[BibT_eX]

[DOI]

Aswin N. Venkat

Proceedings of the American Control Conference, 2006

2005

Simultaneous Variable Selection.

[BibT_eX]

[DOI]

Berwin A. Turlach

William N. Venables

Technometrics, 2005

An Algorithm for Degenerate Nonlinear Programming with Rapid Local Convergence.

[BibT_eX]

[DOI]

SIAM J. Optim., 2005

Stability and optimality of distributed model predictive control.

[BibT_eX]

[DOI]

Aswin N. Venkat

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Modeling Participation in the NHII: Operations Research Approach.

[BibT_eX]

[DOI]

Patricia Flatley Brennan

Proceedings of the AMIA 2005, 2005

5. Computational Grids for Stochastic Programming.

[BibT_eX]

[DOI]

Jeff T. Linderoth

Proceedings of the Applications of Stochastic Programming, 2005

2004

Minimizing delivery cost in scalable streaming content distribution systems.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2004

A Feasible Trust-Region Sequential Quadratic Programming Algorithm.

[BibT_eX]

[DOI]

Matthew J. Tenny

SIAM J. Optim., 2004

Some properties of regularization and penalization schemes for MPECs.

[BibT_eX]

[DOI]

Daniel Ralph

Optim. Methods Softw., 2004

Nonlinear Model Predictive Control via Feasibility-Perturbed Sequential Quadratic Programming.

[BibT_eX]

[DOI]

Matthew J. Tenny

Comput. Optim. Appl., 2004

Mass Spectrum Labeling: Theory and Practice.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

2003

Object-oriented software for quadratic programming.

[BibT_eX]

[DOI]

E. Michael Gertz

ACM Trans. Math. Softw., 2003

Existence and computation of infinite horizon model predictive control with active steady-state input constraints.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2003

Constraint identification and algorithm stabilization for degenerate nonlinear programs.

[BibT_eX]

[DOI]

Math. Program., 2003

Decomposition Algorithms for Stochastic Programming on a Computational Grid.

[BibT_eX]

[DOI]

Jeff T. Linderoth

Comput. Optim. Appl., 2003

An Approach to Optimizing Adaptive Parabolic PDE Solvers for the Grid.

[BibT_eX]

[DOI]

Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS 2003), 2003

2002

Warm-Start Strategies in Interior-Point Methods for Linear Programming.

[BibT_eX]

[DOI]

E. Alper Yildirim

SIAM J. Optim., 2002

Modifying SQP for Degenerate Problems.

[BibT_eX]

[DOI]

SIAM J. Optim., 2002

Properties of the Log-Barrier Function on Degenerate Nonlinear Programs.

[BibT_eX]

[DOI]

Dominique Orban

Math. Oper. Res., 2002

Local Convergence of a Primal-Dual Method for Degenerate Nonlinear Programming.

[BibT_eX]

[DOI]

Luís Nunes Vicente

Comput. Optim. Appl., 2002

Model-Based Control of Adaptive Applications: An Overview.

[BibT_eX]

[DOI]

Proceedings of the 16th International Parallel and Distributed Processing Symposium (IPDPS 2002), 2002

Near-optimal adaptive control of a large grid application.

[BibT_eX]

[DOI]

Proceedings of the 16th international conference on Supercomputing, 2002

Numerical Behavior of a Stabilized SQP Method for Degenerate NLP Problems.

[BibT_eX]

[DOI]

El-Sayed M. E. Mostafa

Luís Nunes Vicente

Proceedings of the Global Optimization and Constraint Satisfaction, 2002

2001

Effects of Finite-Precision Arithmetic on Interior-Point Methods for Nonlinear Programming.

[BibT_eX]

[DOI]

SIAM J. Optim., 2001

On reduced convex QP formulations of monotone LCPs.

[BibT_eX]

[DOI]

Math. Program., 2001

On the convergence of the Newton/log-barrier method.

[BibT_eX]

[DOI]

Math. Program., 2001

2000

Superlinear Convergence of an Interior-Point Method Despite Dependent Constraints.

[BibT_eX]

[DOI]

Daniel Ralph

Math. Oper. Res., 2000

1999

Optimization Case Studies in the NEOS Guide.

[BibT_eX]

[DOI]

Joseph Czyzyk

Timothy Wisniewski

SIAM Rev., 1999

Modified Cholesky Factorizations in Interior-Point Algorithms for Linear Programming.

[BibT_eX]

[DOI]

SIAM J. Optim., 1999

The role of linear objective functions in barrier methods.

[BibT_eX]

[DOI]

Florian Jarre

Math. Program., 1999

Recent Developments in Interior-Point Methods.

[BibT_eX]

Proceedings of the System Modelling and Optimization: Methods, 1999

Numerical Optimization

[BibT_eX]

[DOI]

Jorge Nocedal

Springer, ISBN: 978-0-387-22742-9, 1999

1998

Superlinear Convergence of a Stabilized SQP Method to a Degenerate Solution.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 1998

1997

pPCx: Parallel Software for Linear Programming.

[BibT_eX]

Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997

Primal-Dual Interior-Point Methods.

[BibT_eX]

[DOI]

Other Titles in Applied Mathematics, SIAM, ISBN: 978-1-61197-145-3, 1997

1996

A Superlinear Infeasible-Interior-Point Affine Scaling Algorithm for LCP.

[BibT_eX]

[DOI]

Renato D. C. Monteiro

SIAM J. Optim., 1996

A superquadratic infeasible-interior-point method for linear complementarity problems.

[BibT_eX]

[DOI]

Yin Zhang

Math. Program., 1996

A Superlinear Infeasible-Interior-Point Algorithm for Monotone Complementarity Problems.

[BibT_eX]

[DOI]

Daniel Ralph

Math. Oper. Res., 1996

A path-following interior-point algorithm for linear and quadratic problems.

[BibT_eX]

[DOI]

Ann. Oper. Res., 1996

1995

Stability of Linear Equations Solvers in Interior-Point Methods.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 1995

Superlinear primal-dual affine scaling algorithms for LCP.

[BibT_eX]

[DOI]

Renato D. C. Monteiro

Math. Program., 1995

1994

An infeasible-interior-point algorithm for linear complementarity problems.

[BibT_eX]

[DOI]

Math. Program., 1994

Local convergence of interior-point algorithms for degenerate monotone LCP.

[BibT_eX]

[DOI]

Renato D. C. Monteiro

Comput. Optim. Appl., 1994

1993

A Collection of Problems for Which Gaussian Elimination with Partial Pivoting is Unstable.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 1993

1992

Stable Parallel Algorithms for Two-Point Boundary Value Problems.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 1992

An Interior-Point Algorithm for Linearly Constrained Optimization.

[BibT_eX]

[DOI]

SIAM J. Optim., 1992

1991

Parallel Algorithms for Banded Linear Systems.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 1991

Partitioned Dynamic Programming for Optimal Control.

[BibT_eX]

[DOI]

SIAM J. Optim., 1991

Sequential quadratic programming for certain parameter identification problems.

[BibT_eX]

[DOI]

C. T. Kelley

Math. Program., 1991

1990

Adaptation of a Two-Point Boundary Value Problem Solver to a Vector-Multiprocessor Environment.

[BibT_eX]

[DOI]

V. Pereyra

SIAM J. Sci. Comput., 1990

Solution of discrete-time optimal control problems on parallel computers.

[BibT_eX]

[DOI]

Parallel Comput., 1990

1989

An inexact algorithm for composite nondifferentiable optimization.

[BibT_eX]

[DOI]

Math. Program., 1989

1987

Local properties of inexact methods for minimizing nonsmooth composite functions.

[BibT_eX]

[DOI]