Richard H. Byrd

56 papers Journal 50Unranked 6

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Constrained Optimization in the Presence of Noise. SIAM J. Optim. Figen Öztoprak, Richard H. Byrd, Jorge Nocedal
2022	J	`jnl`	A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization. SIAM J. Optim. Hao-Jun Michael Shi, Yuchen Xie, Richard H. Byrd, Jorge Nocedal
2020	J	`jnl`	Analysis of the BFGS Method with Errors. SIAM J. Optim. Yuchen Xie, Richard H. Byrd, Jorge Nocedal
2019	J	`jnl`	Adaptive, Limited-Memory BFGS Algorithms for Unconstrained Optimization. SIAM J. Optim. Paul T. Boggs, Richard H. Byrd
2019	J	`jnl`	Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods. SIAM J. Optim. Albert S. Berahas, Richard H. Byrd, Jorge Nocedal
2019	J	`jnl`	Extending the Pennisi-McCormick Second-Order Sufficiency Theory for Nonlinear Programming to Infinite Dimensions. SIAM J. Optim. Richard H. Byrd, Jorio Cocola, Richard A. Tapia
2018	J	`jnl`	Adaptive Sampling Strategies for Stochastic Optimization. SIAM J. Optim. Raghu Bollapragada, Richard H. Byrd, Jorge Nocedal
2016	J	`jnl`	A Stochastic Quasi-Newton Method for Large-Scale Optimization. SIAM J. Optim. Richard H. Byrd, S. L. Hansen, Jorge Nocedal, Yoram Singer
2016	J	`jnl`	A family of second-order methods for convex ℓ Math. Program. Richard H. Byrd, Gillian M. Chin, Jorge Nocedal, Figen Öztoprak
2016	J	`jnl`	An inexact successive quadratic approximation method for L-1 regularized optimization. Math. Program. Richard H. Byrd, Jorge Nocedal, Figen Öztoprak
2015	J	`jnl`	An algorithm for quadratic ℓ Optim. Methods Softw. Stefan Solntsev, Jorge Nocedal, Richard H. Byrd
2014	J	`jnl`	A Stochastic Quasi-Newton Method for Large-Scale Optimization. CoRR Richard H. Byrd, S. L. Hansen, Jorge Nocedal, Yoram Singer
2013	J	`jnl`	On the use of piecewise linear models in nonlinear programming. Math. Program. Richard H. Byrd, Jorge Nocedal, Richard A. Waltz, Yuchen Wu
2012	J	`jnl`	A line search exact penalty method using steering rules. Math. Program. Richard H. Byrd, Gabriel López-Calva, Jorge Nocedal
2012	J	`jnl`	Sample size selection in optimization methods for machine learning. Math. Program. Richard H. Byrd, Gillian M. Chin, Jorge Nocedal, Yuchen Wu
2011	J	`jnl`	An active-set algorithm for nonlinear programming using parametric linear programming. Optim. Methods Softw. Richard H. Byrd, Richard A. Waltz
2011	J	`jnl`	On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning. SIAM J. Optim. Richard H. Byrd, Gillian M. Chin, Will Neveitt, Jorge Nocedal
2010	J	`jnl`	An inexact Newton method for nonconvex equality constrained optimization. Math. Program. Richard H. Byrd, Frank E. Curtis, Jorge Nocedal
2010	J	`jnl`	Infeasibility Detection and SQP Methods for Nonlinear Optimization. SIAM J. Optim. Richard H. Byrd, Frank E. Curtis, Jorge Nocedal
2008	J	`jnl`	An Inexact SQP Method for Equality Constrained Optimization. SIAM J. Optim. Richard H. Byrd, Frank E. Curtis, Jorge Nocedal
2008	J	`jnl`	Steering exact penalty methods for nonlinear programming. Optim. Methods Softw. Richard H. Byrd, Jorge Nocedal, Richard A. Waltz
2006	J	`jnl`	Parallel Full Space SQP Lagrange-Newton-Krylov-Schwarz Algorithms for PDE-Constrained Optimization Problems. SIAM J. Sci. Comput. Ernesto E. Prudencio, Richard H. Byrd, Xiao-Chuan Cai
2005	J	`jnl`	On the Convergence of Successive Linear-Quadratic Programming Algorithms. SIAM J. Optim. Richard H. Byrd, Nicholas I. M. Gould, Jorge Nocedal, Richard A. Waltz
2004	J	`jnl`	An algorithm for nonlinear optimization using linear programming and equality constrained subproblems. Math. Program. Richard H. Byrd, Nicholas I. M. Gould, Jorge Nocedal, Richard A. Waltz
2004	J	`jnl`	An optimization approach to the problem of protein structure prediction. Math. Program. Elizabeth Eskow, Brett W. Bader, Richard H. Byrd, Silvia N. Crivelli, Teresa Head-Gordon, Vincent Lamberti, Robert B. Schnabel
2004	—	`conf`	Domain Decomposition Methods for PDE Constrained Optimization Problems. VECPAR Ernesto E. Prudencio, Richard H. Byrd, Xiao-Chuan Cai
2004	J	`jnl`	On the convergence of Newton iterations to non-stationary points. Math. Program. Richard H. Byrd, Marcelo Marazzi, Jorge Nocedal
2003	J	`jnl`	Feasible Interior Methods Using Slacks for Nonlinear Optimization. Comput. Optim. Appl. Richard H. Byrd, Jorge Nocedal, Richard A. Waltz
2000	J	`jnl`	A Global Optimization Strategy for Predicting -helical Protein Tertiary Structure. Comput. Chem. Silvia N. Crivelli, Richard H. Byrd, Elizabeth Eskow, Robert B. Schnabel, Richard Yu, Thomas M. Philip, Teresa Head-Gordon
2000	J	`jnl`	A trust region method based on interior point techniques for nonlinear programming. Math. Program. Richard H. Byrd, Jean Charles Gilbert, Jorge Nocedal
2000	J	`jnl`	Global Optimization For Molecular Clusters Using A New Smoothing Approach. J. Glob. Optim. Chung-Shang Shao, Richard H. Byrd, Elizabeth Eskow, Robert B. Schnabel
1999	—	`conf`	A Hierarchical Approach for Parallelization of a Global Optimization Method for Protein Structure Prediction. Euro-Par Silvia N. Crivelli, Teresa Head-Gordon, Richard H. Byrd, Elizabeth Eskow, Robert B. Schnabel
1999	J	`jnl`	An Interior Point Algorithm for Large-Scale Nonlinear Programming. SIAM J. Optim. Richard H. Byrd, Mary E. Hribar, Jorge Nocedal
1999	J	`jnl`	Practical Update Criteria for Reduced Hessian SQP: Global Analysis. SIAM J. Optim. Yuanfu Xie, Richard H. Byrd
1997	J	`jnl`	A Stochastic/Perturbation Global Optimization Algorithm for Distance Geometry Problems. J. Glob. Optim. Zhihong Zou, Richard H. Byrd, Robert B. Schnabel
1997	J	`jnl`	Algorithm 778: L-BFGS-B: Fortran Subroutines for Large-Scale Bound-Constrained Optimization. ACM Trans. Math. Softw. Ciyou Zhu, Richard H. Byrd, Peihuang Lu, Jorge Nocedal
1996	J	`jnl`	Analysis of a Symmetric Rank-One Trust Region Method. SIAM J. Optim. Richard H. Byrd, Humaid Khalfan, Robert B. Schnabel
1995	J	`jnl`	A Limited Memory Algorithm for Bound Constrained Optimization. SIAM J. Sci. Comput. Richard H. Byrd, Peihuang Lu, Jorge Nocedal, Ciyou Zhu
1995	—	`conf`	A Parallel Global Optimization Method for Solving Molecular Cluster and Polymer Conformation Problems. PP Richard H. Byrd, Elizabeth Eskow, André van der Hoek, Robert B. Schnabel, Klaas P. B. Oldenkamp
1995	—	`conf`	Global optimization methods for protein folding problems. Global Minimization of Nonconvex Energy Functions: Molecular Conformation and Protein Folding Richard H. Byrd, Elizabeth Eskow, André van der Hoek, Robert B. Schnabel, Chung-Shang Shao, Zhihong Zou
1994	J	`jnl`	Representations of quasi-Newton matrices and their use in limited memory methods. Math. Program. Richard H. Byrd, Jorge Nocedal, Robert B. Schnabel
1993	J	`jnl`	A Theoretical and Experimental Study of the Symmetric Rank-One Update. SIAM J. Optim. Humaid Khalfan, Richard H. Byrd, Robert B. Schnabel
1993	—	`conf`	Parallel Global Optimization Methods for Molecular Configuration Problems. PPSC Richard H. Byrd, Thomas Derby, Elizabeth Eskow, Klaas P. B. Oldenkamp, Robert B. Schnabel, Christos Triantafillou
1992	J	`jnl`	An SQP Augmented Lagrangian BFGS Algorithm for Constrained Optimization. SIAM J. Optim. Richard H. Byrd, Richard A. Tapia, Yin Zhang
1992	J	`jnl`	On the Behavior of Broyden's Class of Quasi-Newton Methods. SIAM J. Optim. Richard H. Byrd, Dong C. Liu, Jorge Nocedal
1992	J	`jnl`	Parallel Methods for Solving Nonlinear Block Bordered Systems of Equations. SIAM J. Sci. Comput. Xiaodong Zhang, Richard H. Byrd, Robert B. Schnabel
1991	J	`jnl`	An analysis of reduced Hessian methods for constrained optimization. Math. Program. Richard H. Byrd, Jorge Nocedal
1990	J	`jnl`	Concurrent Stochastic Methods for Global Optimization. Math. Program. Richard H. Byrd, Cornelius L. Dert, Alexander H. G. Rinnooy Kan, Robert B. Schnabel
1989	J	`jnl`	Algorithm 676: ODRPACK: software for weighted orthogonal distance regression. ACM Trans. Math. Softw. Paul T. Boggs, Janet R. Donaldson, Richard H. Byrd, Robert B. Schnabel
1988	J	`jnl`	Approximate solution of the trust region problem by minimization over two-dimensional subspaces. Math. Program. Richard H. Byrd, Robert B. Schnabel, Gerald A. Shultz
1988	J	`jnl`	Parallel quasi-Newton methods for unconstrained optimization. Math. Program. Richard H. Byrd, Robert B. Schnabel, Gerald A. Shultz
1987	J	`jnl`	Technical Note - Recognizing Unbounded Integer Programs. Oper. Res. Richard H. Byrd, Alan J. Goldman, Miriam Heller
1986	J	`jnl`	Continuity of the null space basis and constrained optimization. Math. Program. Richard H. Byrd, Robert B. Schnabel
1985	J	`jnl`	An example of irregular convergence in some constrained optimization methods that use the projected hessian. Math. Program. Richard H. Byrd
1984	—	`conf`	A Theory and Algorithmic Frame for Switch Level Simulation. IMACS European Simulation Meeting Michael R. Lightner, Gary D. Hachtel, Richard H. Byrd, Michel Heydemann
1975	J	`jnl`	An extension of Curry's theorem to steepest descent in normed linear spaces. Math. Program. Richard H. Byrd, Richard A. Tapia