Richard H. Byrd - researchr alias

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Viewing Publication 1 - 55 from 55

2023

Constrained Optimization in the Presence of NoiseFigen Öztoprak, Richard H. Byrd, Jorge Nocedal. siamjo, 33(3):2118-2136, September 2023. [doi]

2022

A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained OptimizationHao-Jun Michael Shi, Yuchen Xie, Richard H. Byrd, Jorge Nocedal. siamjo, 32(1):29-55, 2022. [doi]

2020

Analysis of the BFGS Method with ErrorsYuchen Xie, Richard H. Byrd, Jorge Nocedal. siamjo, 30(1):182-209, 2020. [doi]

2019

Derivative-Free Optimization of Noisy Functions via Quasi-Newton MethodsAlbert S. Berahas, Richard H. Byrd, Jorge Nocedal. siamjo, 29(2):965-993, 2019. [doi]

Adaptive, Limited-Memory BFGS Algorithms for Unconstrained OptimizationPaul T. Boggs, Richard H. Byrd. siamjo, 29(2):1282-1299, 2019. [doi]

Extending the Pennisi-McCormick Second-Order Sufficiency Theory for Nonlinear Programming to Infinite DimensionsRichard H. Byrd, Jorio Cocola, Richard A. Tapia. siamjo, 29(3):1870-1878, 2019. [doi]

2018

Adaptive Sampling Strategies for Stochastic OptimizationRaghu Bollapragada, Richard H. Byrd, Jorge Nocedal. siamjo, 28(4):3312-3343, 2018. [doi]

2016

1-regularized optimizationRichard H. Byrd, Gillian M. Chin, Jorge Nocedal, Figen Öztoprak. mp, 159(1-2):435-467, 2016. [doi]

An inexact successive quadratic approximation method for L-1 regularized optimizationRichard H. Byrd, Jorge Nocedal, Figen Öztoprak. mp, 157(2):375-396, 2016. [doi]

A Stochastic Quasi-Newton Method for Large-Scale OptimizationRichard H. Byrd, S. L. Hansen, Jorge Nocedal, Yoram Singer. siamjo, 26(2):1008-1031, 2016. [doi]

2015

1-regularized optimization with a flexible active-set strategyStefan Solntsev, Jorge Nocedal, Richard H. Byrd. oms, 30(6):1213-1237, 2015. [doi]

2013

On the use of piecewise linear models in nonlinear programmingRichard H. Byrd, Jorge Nocedal, Richard A. Waltz, Yuchen Wu. mp, 137(1-2):289-324, 2013. [doi]

2012

A line search exact penalty method using steering rulesRichard H. Byrd, Gabriel López-Calva, Jorge Nocedal. mp, 133(1-2):39-73, 2012. [doi]

Sample size selection in optimization methods for machine learningRichard H. Byrd, Gillian M. Chin, Jorge Nocedal, Yuchen Wu. mp, 134(1):127-155, 2012. [doi]

2011

An active-set algorithm for nonlinear programming using parametric linear programmingRichard H. Byrd, Richard A. Waltz. oms, 26(1):47-66, 2011. [doi]

On the Use of Stochastic Hessian Information in Optimization Methods for Machine LearningRichard H. Byrd, Gillian M. Chin, Will Neveitt, Jorge Nocedal. siamjo, 21(3):977-995, 2011. [doi]

2010

An inexact Newton method for nonconvex equality constrained optimizationRichard H. Byrd, Frank E. Curtis, Jorge Nocedal. mp, 122(2):273-299, 2010. [doi]

Infeasibility Detection and SQP Methods for Nonlinear OptimizationRichard H. Byrd, Frank E. Curtis, Jorge Nocedal. siamjo, 20(5):2281-2299, 2010. [doi]

2008

Steering exact penalty methods for nonlinear programmingRichard H. Byrd, Jorge Nocedal, Richard A. Waltz. oms, 23(2):197-213, 2008. [doi]

An Inexact SQP Method for Equality Constrained OptimizationRichard H. Byrd, Frank E. Curtis, Jorge Nocedal. siamjo, 19(1):351-369, 2008. [doi]

2006

Parallel Full Space SQP Lagrange-Newton-Krylov-Schwarz Algorithms for PDE-Constrained Optimization ProblemsErnesto E. Prudencio, Richard H. Byrd, Xiao-Chuan Cai. siamsc, 27(4):1305-1328, 2006. [doi]

2005

On the Convergence of Successive Linear-Quadratic Programming AlgorithmsRichard H. Byrd, Nicholas I. M. Gould, Jorge Nocedal, Richard A. Waltz. siamjo, 16(2):471-489, 2005. [doi]

2004

2003

Feasible Interior Methods Using Slacks for Nonlinear OptimizationRichard H. Byrd, Jorge Nocedal, Richard A. Waltz. coap, 26(1):35-61, 2003. [doi]

2000

1999

An Interior Point Algorithm for Large-Scale Nonlinear ProgrammingRichard H. Byrd, Mary E. Hribar, Jorge Nocedal. siamjo, 9(4):877-900, 1999. [doi]

A Hierarchical Approach for Parallelization of a Global Optimization Method for Protein Structure PredictionSilvia N. Crivelli, Teresa Head-Gordon, Richard H. Byrd, Elizabeth Eskow, Robert B. Schnabel. europar 1999: 578-585 [doi]

Practical Update Criteria for Reduced Hessian SQP: Global AnalysisYuanfu Xie, Richard H. Byrd. siamjo, 9(3):578-604, 1999. [doi]

1997

Algorithm 778: L-BFGS-B: Fortran Subroutines for Large-Scale Bound-Constrained OptimizationCiyou Zhu, Richard H. Byrd, Peihuang Lu, Jorge Nocedal. TOMS, 23(4):550-560, 1997. [doi]

A Stochastic/Perturbation Global Optimization Algorithm for Distance Geometry ProblemsZhihong Zou, Richard H. Byrd, Robert B. Schnabel. jgo, 11(1):91-105, 1997. [doi]

1996

Analysis of a Symmetric Rank-One Trust Region MethodRichard H. Byrd, Humaid Khalfan, Robert B. Schnabel. siamjo, 6(4):1025-1039, 1996. [doi]

1995

1994

Representations of quasi-Newton matrices and their use in limited memory methodsRichard H. Byrd, Jorge Nocedal, Robert B. Schnabel. mp, 63:129-156, 1994.

1993

Parallel Global Optimization Methods for Molecular Configuration ProblemsRichard H. Byrd, Thomas Derby, Elizabeth Eskow, Klaas P. B. Oldenkamp, Robert B. Schnabel, Christos Triantafillou. ppsc 1993: 165-169

A Theoretical and Experimental Study of the Symmetric Rank-One UpdateHumaid Khalfan, Richard H. Byrd, Robert B. Schnabel. siamjo, 3(1):1-24, 1993. [doi]

1992

On the Behavior of Broyden's Class of Quasi-Newton MethodsRichard H. Byrd, Dong C. Liu, Jorge Nocedal. siamjo, 2(4):533-557, 1992. [doi]

An SQP Augmented Lagrangian BFGS Algorithm for Constrained OptimizationRichard H. Byrd, Richard A. Tapia, Yin Zhang. siamjo, 2(2):210-241, 1992. [doi]

Parallel Methods for Solving Nonlinear Block Bordered Systems of EquationsXiaodong Zhang, Richard H. Byrd, Robert B. Schnabel. siamsc, 13(4):841-859, 1992. [doi]

1991

An analysis of reduced Hessian methods for constrained optimizationRichard H. Byrd, Jorge Nocedal. mp, 49:285-323, 1991.

1990

Concurrent Stochastic Methods for Global OptimizationRichard H. Byrd, Cornelius L. Dert, Alexander H. G. Rinnooy Kan, Robert B. Schnabel. mp, 46:1-29, 1990.

1989

Algorithm 676: ODRPACK: software for weighted orthogonal distance regressionPaul T. Boggs, Janet R. Donaldson, Richard H. Byrd, Robert B. Schnabel. TOMS, 15(4):348-364, 1989. [doi]

1988

Approximate solution of the trust region problem by minimization over two-dimensional subspacesRichard H. Byrd, Robert B. Schnabel, Gerald A. Shultz. mp, 40(1-3):247-263, 1988. [doi]

Parallel quasi-Newton methods for unconstrained optimizationRichard H. Byrd, Robert B. Schnabel, Gerald A. Shultz. mp, 42(1-3):273-306, 1988. [doi]

1986

Continuity of the null space basis and constrained optimizationRichard H. Byrd, Robert B. Schnabel. mp, 35(1):32-41, 1986. [doi]

1985

An example of irregular convergence in some constrained optimization methods that use the projected hessianRichard H. Byrd. mp, 32(2):232-237, 1985. [doi]

1984

A Theory and Algorithmic Frame for Switch Level SimulationMichael R. Lightner, Gary D. Hachtel, Richard H. Byrd, Michel Heydemann. imacs 1984: 151-159

1975

An extension of Curry's theorem to steepest descent in normed linear spacesRichard H. Byrd, Richard A. Tapia. mp, 9(1):247-254, 1975. [doi]

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