Richard H. Byrd

Publication Activity (10 Years)

Years Active: 1975-2023
Publications (10 Years): 10

Top Topics

Unconstrained Optimization

Quasi Newton Method

Nonlinear Programming

Sampling Strategies

Top Venues

Optim. Methods Softw.

Publications

Figen Öztoprak, Richard H. Byrd, Jorge Nocedal
Constrained Optimization in the Presence of Noise. SIAM J. Optim. 33 (3) (2023)
Hao-Jun Michael Shi, Yuchen Xie, Richard H. Byrd, Jorge Nocedal
A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization. SIAM J. Optim. 32 (1) (2022)
Yuchen Xie, Richard H. Byrd, Jorge Nocedal
Analysis of the BFGS Method with Errors. SIAM J. Optim. 30 (1) (2020)
Albert S. Berahas, Richard H. Byrd, Jorge Nocedal
Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods. SIAM J. Optim. 29 (2) (2019)
Paul T. Boggs, Richard H. Byrd
Adaptive, Limited-Memory BFGS Algorithms for Unconstrained Optimization. SIAM J. Optim. 29 (2) (2019)
Richard H. Byrd, Jorio Cocola, Richard A. Tapia
Extending the Pennisi-McCormick Second-Order Sufficiency Theory for Nonlinear Programming to Infinite Dimensions. SIAM J. Optim. 29 (3) (2019)
Raghu Bollapragada, Richard H. Byrd, Jorge Nocedal
Adaptive Sampling Strategies for Stochastic Optimization. SIAM J. Optim. 28 (4) (2018)
Richard H. Byrd, Jorge Nocedal, Figen Öztoprak
An inexact successive quadratic approximation method for L-1 regularized optimization. Math. Program. 157 (2) (2016)
Richard H. Byrd, S. L. Hansen, Jorge Nocedal, Yoram Singer
A Stochastic Quasi-Newton Method for Large-Scale Optimization. SIAM J. Optim. 26 (2) (2016)
Richard H. Byrd, Gillian M. Chin, Jorge Nocedal, Figen Öztoprak
-regularized optimization. Math. Program. 159 (1-2) (2016)
Stefan Solntsev, Jorge Nocedal, Richard H. Byrd
-regularized optimization with a flexible active-set strategy. Optim. Methods Softw. 30 (6) (2015)
Richard H. Byrd, S. L. Hansen, Jorge Nocedal, Yoram Singer
A Stochastic Quasi-Newton Method for Large-Scale Optimization. CoRR (2014)
Richard H. Byrd, Jorge Nocedal, Richard A. Waltz, Yuchen Wu
On the use of piecewise linear models in nonlinear programming. Math. Program. 137 (1-2) (2013)
Richard H. Byrd, Gillian M. Chin, Jorge Nocedal, Yuchen Wu
Sample size selection in optimization methods for machine learning. Math. Program. 134 (1) (2012)
Richard H. Byrd, Gabriel López-Calva, Jorge Nocedal
A line search exact penalty method using steering rules. Math. Program. 133 (1-2) (2012)
Richard H. Byrd, Gillian M. Chin, Will Neveitt, Jorge Nocedal
On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning. SIAM J. Optim. 21 (3) (2011)
Richard H. Byrd, Richard A. Waltz
An active-set algorithm for nonlinear programming using parametric linear programming. Optim. Methods Softw. 26 (1) (2011)
Richard H. Byrd, Frank E. Curtis, Jorge Nocedal
Infeasibility Detection and SQP Methods for Nonlinear Optimization. SIAM J. Optim. 20 (5) (2010)
Richard H. Byrd, Frank E. Curtis, Jorge Nocedal
An inexact Newton method for nonconvex equality constrained optimization. Math. Program. 122 (2) (2010)
Richard H. Byrd, Jorge Nocedal, Richard A. Waltz
Steering exact penalty methods for nonlinear programming. Optim. Methods Softw. 23 (2) (2008)
Richard H. Byrd, Frank E. Curtis, Jorge Nocedal
An Inexact SQP Method for Equality Constrained Optimization. SIAM J. Optim. 19 (1) (2008)
Ernesto E. Prudencio, Richard H. Byrd, Xiao-Chuan Cai
Parallel Full Space SQP Lagrange-Newton-Krylov-Schwarz Algorithms for PDE-Constrained Optimization Problems. SIAM J. Sci. Comput. 27 (4) (2006)
Richard H. Byrd, Nicholas I. M. Gould, Jorge Nocedal, Richard A. Waltz
On the Convergence of Successive Linear-Quadratic Programming Algorithms. SIAM J. Optim. 16 (2) (2005)
Elizabeth Eskow, Brett W. Bader, Richard H. Byrd, Silvia N. Crivelli, Teresa Head-Gordon, Vincent Lamberti, Robert B. Schnabel
An optimization approach to the problem of protein structure prediction. Math. Program. 101 (3) (2004)
Richard H. Byrd, Nicholas I. M. Gould, Jorge Nocedal, Richard A. Waltz
An algorithm for nonlinear optimization using linear programming and equality constrained subproblems. Math. Program. 100 (1) (2004)
Ernesto E. Prudencio, Richard H. Byrd, Xiao-Chuan Cai
Domain Decomposition Methods for PDE Constrained Optimization Problems. VECPAR (2004)
Richard H. Byrd, Marcelo Marazzi, Jorge Nocedal
On the convergence of Newton iterations to non-stationary points. Math. Program. 99 (1) (2004)
Richard H. Byrd, Jorge Nocedal, Richard A. Waltz
Feasible Interior Methods Using Slacks for Nonlinear Optimization. Comput. Optim. Appl. 26 (1) (2003)
Richard H. Byrd, Jean Charles Gilbert, Jorge Nocedal
A trust region method based on interior point techniques for nonlinear programming. Math. Program. 89 (1) (2000)
Chung-Shang Shao, Richard H. Byrd, Elizabeth Eskow, Robert B. Schnabel
Global Optimization For Molecular Clusters Using A New Smoothing Approach. J. Glob. Optim. 16 (2) (2000)
Silvia N. Crivelli, Richard H. Byrd, Elizabeth Eskow, Robert B. Schnabel, Richard Yu, Thomas M. Philip, Teresa Head-Gordon
A Global Optimization Strategy for Predicting -helical Protein Tertiary Structure. Comput. Chem. 24 (3-4) (2000)
Yuanfu Xie, Richard H. Byrd
Practical Update Criteria for Reduced Hessian SQP: Global Analysis. SIAM J. Optim. 9 (3) (1999)
Silvia N. Crivelli, Teresa Head-Gordon, Richard H. Byrd, Elizabeth Eskow, Robert B. Schnabel
A Hierarchical Approach for Parallelization of a Global Optimization Method for Protein Structure Prediction. Euro-Par (1999)
Richard H. Byrd, Mary E. Hribar, Jorge Nocedal
An Interior Point Algorithm for Large-Scale Nonlinear Programming. SIAM J. Optim. 9 (4) (1999)
Zhihong Zou, Richard H. Byrd, Robert B. Schnabel
A Stochastic/Perturbation Global Optimization Algorithm for Distance Geometry Problems. J. Glob. Optim. 11 (1) (1997)
Ciyou Zhu, Richard H. Byrd, Peihuang Lu, Jorge Nocedal
Algorithm 778: L-BFGS-B: Fortran Subroutines for Large-Scale Bound-Constrained Optimization. ACM Trans. Math. Softw. 23 (4) (1997)
Richard H. Byrd, Humaid Khalfan, Robert B. Schnabel
Analysis of a Symmetric Rank-One Trust Region Method. SIAM J. Optim. 6 (4) (1996)
Richard H. Byrd, Peihuang Lu, Jorge Nocedal, Ciyou Zhu
A Limited Memory Algorithm for Bound Constrained Optimization. SIAM J. Sci. Comput. 16 (5) (1995)
Richard H. Byrd, Elizabeth Eskow, André van der Hoek, Robert B. Schnabel, Chung-Shang Shao, Zhihong Zou
Global optimization methods for protein folding problems. Global Minimization of Nonconvex Energy Functions: Molecular Conformation and Protein Folding (1995)
Richard H. Byrd, Elizabeth Eskow, André van der Hoek, Robert B. Schnabel, Klaas P. B. Oldenkamp
A Parallel Global Optimization Method for Solving Molecular Cluster and Polymer Conformation Problems. PPSC (1995)
Richard H. Byrd, Jorge Nocedal, Robert B. Schnabel
Representations of quasi-Newton matrices and their use in limited memory methods. Math. Program. 63 (1994)
Richard H. Byrd, Thomas Derby, Elizabeth Eskow, Klaas P. B. Oldenkamp, Robert B. Schnabel, Christos Triantafillou
Parallel Global Optimization Methods for Molecular Configuration Problems. PPSC (1993)
Humaid Khalfan, Richard H. Byrd, Robert B. Schnabel
A Theoretical and Experimental Study of the Symmetric Rank-One Update. SIAM J. Optim. 3 (1) (1993)
Richard H. Byrd, Dong C. Liu, Jorge Nocedal
On the Behavior of Broyden's Class of Quasi-Newton Methods. SIAM J. Optim. 2 (4) (1992)
Xiaodong Zhang, Richard H. Byrd, Robert B. Schnabel
Parallel Methods for Solving Nonlinear Block Bordered Systems of Equations. SIAM J. Sci. Comput. 13 (4) (1992)
Richard H. Byrd, Richard A. Tapia, Yin Zhang
An SQP Augmented Lagrangian BFGS Algorithm for Constrained Optimization. SIAM J. Optim. 2 (2) (1992)
Richard H. Byrd, Jorge Nocedal
An analysis of reduced Hessian methods for constrained optimization. Math. Program. 49 (1991)
Richard H. Byrd, Cornelius L. Dert, Alexander H. G. Rinnooy Kan, Robert B. Schnabel
Concurrent Stochastic Methods for Global Optimization. Math. Program. 46 (1990)
Paul T. Boggs, Janet R. Donaldson, Richard H. Byrd, Robert B. Schnabel
Algorithm 676: ODRPACK: software for weighted orthogonal distance regression. ACM Trans. Math. Softw. 15 (4) (1989)
Richard H. Byrd, Robert B. Schnabel, Gerald A. Shultz
Parallel quasi-Newton methods for unconstrained optimization. Math. Program. 42 (1-3) (1988)
Richard H. Byrd, Robert B. Schnabel, Gerald A. Shultz
Approximate solution of the trust region problem by minimization over two-dimensional subspaces. Math. Program. 40 (1-3) (1988)
Richard H. Byrd, Robert B. Schnabel
Continuity of the null space basis and constrained optimization. Math. Program. 35 (1) (1986)
Richard H. Byrd
An example of irregular convergence in some constrained optimization methods that use the projected hessian. Math. Program. 32 (2) (1985)
Michael R. Lightner, Gary D. Hachtel, Richard H. Byrd, Michel Heydemann
A Theory and Algorithmic Frame for Switch Level Simulation. IMACS European Simulation Meeting (1984)
Richard H. Byrd, Richard A. Tapia
An extension of Curry's theorem to steepest descent in normed linear spaces. Math. Program. 9 (1) (1975)