Richard H. Byrd

According to our database, Richard H. Byrd authored at least 55 papers between 1975 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Constrained Optimization in the Presence of Noise.

Figen Öztoprak, Richard H. Byrd, Jorge Nocedal

SIAM J. Optim., September, 2023

2022

A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization.

Hao-Jun Michael Shi, Yuchen Xie, Richard H. Byrd, Jorge Nocedal

SIAM J. Optim., 2022

2020

Analysis of the BFGS Method with Errors.

Yuchen Xie, Richard H. Byrd, Jorge Nocedal

SIAM J. Optim., 2020

2019

Extending the Pennisi-McCormick Second-Order Sufficiency Theory for Nonlinear Programming to Infinite Dimensions.

Richard H. Byrd, Jorio Cocola, Richard A. Tapia

SIAM J. Optim., 2019

Adaptive, Limited-Memory BFGS Algorithms for Unconstrained Optimization.

Paul T. Boggs, Richard H. Byrd

SIAM J. Optim., 2019

Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods.

Albert S. Berahas, Richard H. Byrd, Jorge Nocedal

SIAM J. Optim., 2019

2018

Adaptive Sampling Strategies for Stochastic Optimization.

Raghu Bollapragada, Richard H. Byrd, Jorge Nocedal

SIAM J. Optim., 2018

2016

A Stochastic Quasi-Newton Method for Large-Scale Optimization.

Richard H. Byrd, S. L. Hansen, Jorge Nocedal, Yoram Singer

SIAM J. Optim., 2016

An inexact successive quadratic approximation method for L-1 regularized optimization.

Richard H. Byrd, Jorge Nocedal, Figen Öztoprak

Math. Program., 2016

A family of second-order methods for convex ℓ₁-regularized optimization.

Richard H. Byrd, Gillian M. Chin, Jorge Nocedal, Figen Öztoprak

Math. Program., 2016

2015

An algorithm for quadratic ℓ₁-regularized optimization with a flexible active-set strategy.

Stefan Solntsev, Jorge Nocedal, Richard H. Byrd

Optim. Methods Softw., 2015

2013

On the use of piecewise linear models in nonlinear programming.

Richard H. Byrd, Jorge Nocedal, Richard A. Waltz, Yuchen Wu

Math. Program., 2013

2012

A line search exact penalty method using steering rules.

Richard H. Byrd, Gabriel López-Calva, Jorge Nocedal

Math. Program., 2012

Sample size selection in optimization methods for machine learning.

Richard H. Byrd, Gillian M. Chin, Jorge Nocedal, Yuchen Wu

Math. Program., 2012

2011

On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning.

Richard H. Byrd, Gillian M. Chin, Will Neveitt, Jorge Nocedal

SIAM J. Optim., 2011

An active-set algorithm for nonlinear programming using parametric linear programming.

Richard H. Byrd, Richard A. Waltz

Optim. Methods Softw., 2011

2010

Infeasibility Detection and SQP Methods for Nonlinear Optimization.

Richard H. Byrd, Frank E. Curtis, Jorge Nocedal

SIAM J. Optim., 2010

An inexact Newton method for nonconvex equality constrained optimization.

Richard H. Byrd, Frank E. Curtis, Jorge Nocedal

Math. Program., 2010

2008

An Inexact SQP Method for Equality Constrained Optimization.

Richard H. Byrd, Frank E. Curtis, Jorge Nocedal

SIAM J. Optim., 2008

Steering exact penalty methods for nonlinear programming.

Richard H. Byrd, Jorge Nocedal, Richard A. Waltz

Optim. Methods Softw., 2008

2006

Parallel Full Space SQP Lagrange-Newton-Krylov-Schwarz Algorithms for PDE-Constrained Optimization Problems.

Ernesto E. Prudencio, Richard H. Byrd, Xiao-Chuan Cai

SIAM J. Sci. Comput., 2006

2005

On the Convergence of Successive Linear-Quadratic Programming Algorithms.

Richard H. Byrd, Nicholas I. M. Gould, Jorge Nocedal, Richard A. Waltz

SIAM J. Optim., 2005

2004

An optimization approach to the problem of protein structure prediction.

Elizabeth Eskow, Brett W. Bader, Richard H. Byrd, Silvia N. Crivelli, Teresa Head-Gordon, Vincent Lamberti, Robert B. Schnabel

Math. Program., 2004

On the convergence of Newton iterations to non-stationary points.

Richard H. Byrd, Marcelo Marazzi, Jorge Nocedal

Math. Program., 2004

An algorithm for nonlinear optimization using linear programming and equality constrained subproblems.

Richard H. Byrd, Nicholas I. M. Gould, Jorge Nocedal, Richard A. Waltz

Math. Program., 2004

Domain Decomposition Methods for PDE Constrained Optimization Problems.

Ernesto E. Prudencio, Richard H. Byrd, Xiao-Chuan Cai

Proceedings of the High Performance Computing for Computational Science, 2004

2003

Feasible Interior Methods Using Slacks for Nonlinear Optimization.

Richard H. Byrd, Jorge Nocedal, Richard A. Waltz

Comput. Optim. Appl., 2003

2000

A trust region method based on interior point techniques for nonlinear programming.

Richard H. Byrd, Jean Charles Gilbert, Jorge Nocedal

Math. Program., 2000

Global Optimization For Molecular Clusters Using A New Smoothing Approach.

Chung-Shang Shao, Richard H. Byrd, Elizabeth Eskow, Robert B. Schnabel

J. Glob. Optim., 2000

A Global Optimization Strategy for Predicting -helical Protein Tertiary Structure.

Silvia N. Crivelli, Richard H. Byrd, Elizabeth Eskow, Robert B. Schnabel, Richard Yu, Thomas M. Philip, Teresa Head-Gordon

Comput. Chem., 2000

1999

Practical Update Criteria for Reduced Hessian SQP: Global Analysis.

Yuanfu Xie, Richard H. Byrd

SIAM J. Optim., 1999

An Interior Point Algorithm for Large-Scale Nonlinear Programming.

Richard H. Byrd, Mary E. Hribar, Jorge Nocedal

SIAM J. Optim., 1999

A Hierarchical Approach for Parallelization of a Global Optimization Method for Protein Structure Prediction.

Silvia N. Crivelli, Teresa Head-Gordon, Richard H. Byrd, Elizabeth Eskow, Robert B. Schnabel

Proceedings of the Euro-Par '99 Parallel Processing, 5th International Euro-Par Conference, Toulouse, France, August 31, 1999

1997

Algorithm 778: L-BFGS-B: Fortran Subroutines for Large-Scale Bound-Constrained Optimization.

Ciyou Zhu, Richard H. Byrd, Peihuang Lu, Jorge Nocedal

ACM Trans. Math. Softw., 1997

A Stochastic/Perturbation Global Optimization Algorithm for Distance Geometry Problems.

Zhihong Zou, Richard H. Byrd, Robert B. Schnabel

J. Glob. Optim., 1997

1996

Analysis of a Symmetric Rank-One Trust Region Method.

Richard H. Byrd, Humaid Khalfan, Robert B. Schnabel

SIAM J. Optim., 1996

1995

A Limited Memory Algorithm for Bound Constrained Optimization.

Richard H. Byrd, Peihuang Lu, Jorge Nocedal, Ciyou Zhu

SIAM J. Sci. Comput., 1995

A Parallel Global Optimization Method for Solving Molecular Cluster and Polymer Conformation Problems.

Richard H. Byrd, Elizabeth Eskow, André van der Hoek, Robert B. Schnabel, Klaas P. B. Oldenkamp

Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, 1995

Global optimization methods for protein folding problems.

Richard H. Byrd, Elizabeth Eskow, André van der Hoek, Robert B. Schnabel, Chung-Shang Shao, Zhihong Zou

Proceedings of the Global Minimization of Nonconvex Energy Functions: Molecular Conformation and Protein Folding, 1995

1994

Representations of quasi-Newton matrices and their use in limited memory methods.

Richard H. Byrd, Jorge Nocedal, Robert B. Schnabel

Math. Program., 1994

1993

A Theoretical and Experimental Study of the Symmetric Rank-One Update.

Humaid Khalfan, Richard H. Byrd, Robert B. Schnabel

SIAM J. Optim., 1993

Parallel Global Optimization Methods for Molecular Configuration Problems.

Richard H. Byrd, Thomas Derby, Elizabeth Eskow, Klaas P. B. Oldenkamp, Robert B. Schnabel, Christos Triantafillou

Proceedings of the Sixth SIAM Conference on Parallel Processing for Scientific Computing, 1993

1992

Parallel Methods for Solving Nonlinear Block Bordered Systems of Equations.

Xiaodong Zhang, Richard H. Byrd, Robert B. Schnabel

SIAM J. Sci. Comput., 1992

An SQP Augmented Lagrangian BFGS Algorithm for Constrained Optimization.

Richard H. Byrd, Richard A. Tapia, Yin Zhang

SIAM J. Optim., 1992

On the Behavior of Broyden's Class of Quasi-Newton Methods.

Richard H. Byrd, Dong C. Liu, Jorge Nocedal

SIAM J. Optim., 1992

1991

An analysis of reduced Hessian methods for constrained optimization.

Richard H. Byrd, Jorge Nocedal

Math. Program., 1991

1990

Concurrent Stochastic Methods for Global Optimization.

Richard H. Byrd, Cornelius L. Dert, Alexander H. G. Rinnooy Kan, Robert B. Schnabel

Math. Program., 1990

1989

Algorithm 676: ODRPACK: software for weighted orthogonal distance regression.

Paul T. Boggs, Janet R. Donaldson, Richard H. Byrd, Robert B. Schnabel

ACM Trans. Math. Softw., 1989

1988

Approximate solution of the trust region problem by minimization over two-dimensional subspaces.

Richard H. Byrd, Robert B. Schnabel, Gerald A. Shultz

Math. Program., 1988

Parallel quasi-Newton methods for unconstrained optimization.

Richard H. Byrd, Robert B. Schnabel, Gerald A. Shultz

Math. Program., 1988

1987

Technical Note - Recognizing Unbounded Integer Programs.

Richard H. Byrd, Alan J. Goldman, Miriam Heller

Oper. Res., 1987

1986

Continuity of the null space basis and constrained optimization.

Richard H. Byrd, Robert B. Schnabel

Math. Program., 1986

1985

An example of irregular convergence in some constrained optimization methods that use the projected hessian.

Richard H. Byrd

Math. Program., 1985

1984

A Theory and Algorithmic Frame for Switch Level Simulation.

Michael R. Lightner, Gary D. Hachtel, Richard H. Byrd, Michel Heydemann

Proceedings of the Simulation in Research and Development, 1984

1975

An extension of Curry's theorem to steepest descent in normed linear spaces.

Richard H. Byrd, Richard A. Tapia

Math. Program., 1975