Convergence of the Gradient Method in Normed Linear Spaces.
RH Byrd , Richard A Tapia , WISCONSIN UNIV MADISON MATHEMATICS RESEARCH CENTER
1974
New Methods for Large Scale Local and Global Optimization
Richard Byrd , Robert Schnabel , COLORADO UNIV AT BOULDER
colo
1994
New Methods for Nonlinear Optimization
Robert B Schnabel , Richard H Byrd , COLORADO UNIV AT BOULDER DEPT OF COMPUTER SCIENCE
1994
A Stochastic Quasi-Newton Method for Large-Scale Optimization
J. Nocedal , R. H. Byrd , S. L. Hansen , Y. Singer
arXiv: Optimization and Control
29
2014
Limited Memory BFGS Minimizer with Bounds on Parameters
Jorge Nocedal , Ciyou Zhu , Richard Byrd , Jose Luis Morales
1
2015
Preconditioning the limited-memory bfgs algorithm
Richard H. Byrd , Lianjun Jiang
University of Colorado at Boulder
1
2006
Exact and Inexact Subsampled Newton Methods for Optimization
Jorge Nocedal , Richard Byrd , Raghu Bollapragada
arXiv: Optimization and Control
28
2016
PARALLEL QUASI-NEWTON M ETHODS FOR UNCONSTRAINED O PTIMIZATION
Gerald A. Shultz , Richard H. Byrd , B. Schnabel
1988
An Analysis of Reduced Hessian Methods for Constrained Optimization ; CU-CS-398-88
Jorge Nocedal , Richard H Byrd
1988
A New Large-Scale Global Optimization Method and Its Application to Lennard-Jones Problems ; CU-CS-630-92
Elizabeth Eskow , Robert B Schnabel , Richard H Byrd
3
1992
Continuity of the Null Space Basis and Constrained Optimization ; CU-CS-272-84
Robert B Schnabel , Richard H Byrd
1984
A Preconditioned L-BFGS Algorithm with Application to Molecular Energy Minimization ; CU-CS-982-04
Elizabeth Eskow , Robert B Schnabel , Richard H Byrd , Lianjun Jiang
3
2004
A Practical Class of Globally Convergent Active Set Strategies for Linearly Constrained Optimization ; CU-CS-238-82
Richard H Byrd , Grerald A Schultz
1982
Adaptive Sampling Strategies for Stochastic Optimization
Jorge Nocedal , Richard Byrd , Raghu Bollapragada
arXiv: Optimization and Control
8
2017
Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods
Jorge Nocedal , Richard H. Byrd , Albert S. Berahas
arXiv: Optimization and Control
2
2018
Use of smoothing methods with stochastic perturbation for global optimization: a study in the context of molecular chemistry
Aqil Mohammad Mustafa Azmi , Richard H. Byrd
2
1998
Analysis of the BFGS Method with Errors
Jorge Nocedal , Richard Byrd , Yuchen Xie
arXiv: Optimization and Control
2019
An Algorithm for Quadratic $\ell_1$-Regularized Optimization with a Flexible Active-Set Strategy
Jorge Nocedal , Richard Byrd , Stefan Solntsev
arXiv: Optimization and Control
2014