Richard H. Byrd

	2012
22		Richard H. Byrd, Gabriel López-Calva, Jorge Nocedal: A line search exact penalty method using steering rules. Math. Program. 133(1-2): 39-73 (2012)
	2011
21		Richard H. Byrd, Richard A. Waltz: An active-set algorithm for nonlinear programming using parametric linear programming. Optimization Methods and Software 26(1): 47-66 (2011)
20		Richard H. Byrd, Gillian M. Chin, Will Neveitt, Jorge Nocedal: On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning. SIAM Journal on Optimization 21(3): 977-995 (2011)
	2010
19		Richard H. Byrd, Frank E. Curtis, Jorge Nocedal: An inexact Newton method for nonconvex equality constrained optimization. Math. Program. 122(2): 273-299 (2010)
18		Richard H. Byrd, Frank E. Curtis, Jorge Nocedal: Infeasibility Detection and SQP Methods for Nonlinear Optimization. SIAM Journal on Optimization 20(5): 2281-2299 (2010)
	2008
17		Richard H. Byrd, Frank E. Curtis, Jorge Nocedal: An Inexact SQP Method for Equality Constrained Optimization. SIAM Journal on Optimization 19(1): 351-369 (2008)
	2006
16		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. Scientific Computing 27(4): 1305-1328 (2006)
	2005
15		Richard H. Byrd, Nicholas I. M. Gould, Jorge Nocedal, Richard A. Waltz: On the Convergence of Successive Linear-Quadratic Programming Algorithms. SIAM Journal on Optimization 16(2): 471-489 (2005)
	2004
14		Ernesto E. Prudencio, Richard H. Byrd, Xiao-Chuan Cai: Domain Decomposition Methods for PDE Constrained Optimization Problems. VECPAR 2004: 569-582
13		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): 27-48 (2004)
12		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): 497-514 (2004)
11		Richard H. Byrd, Marcelo Marazzi, Jorge Nocedal: On the convergence of Newton iterations to non-stationary points. Math. Program. 99(1): 127-148 (2004)
	2000
10		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. Computers & Chemistry 24(3-4): 489-497 (2000)
	1999
9		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: 578-585
	1997
8		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): 550-560 (1997)
	1995
7		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: 72-77
	1994
6		Richard H. Byrd, Jorge Nocedal, Robert B. Schnabel: Representations of quasi-Newton matrices and their use in limited memory methods. Math. Program. 63: 129-156 (1994)
	1993
5		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: 165-169
	1991
4		Richard H. Byrd, Jorge Nocedal: An analysis of reduced Hessian methods for constrained optimization. Math. Program. 49: 285-323 (1991)
	1990
3		Richard H. Byrd, Cornelius L. Dert, Alexander H. G. Rinnooy Kan, Robert B. Schnabel: Concurrent Stochastic Methods for Global Optimization. Math. Program. 46: 1-29 (1990)
	1989
2		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): 348-364 (1989)
	1984
1		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: 151-159

Coauthor Index

1	Brett W. Bader	[12]
2	Paul T. Boggs	[2]
3	Xiao-Chuan Cai	[14] [16]
4	Gillian M. Chin	[20]
5	Silvia N. Crivelli	[9] [10] [12]
6	Frank E. Curtis	[17] [18] [19]
7	Thomas Derby	[5]
8	Cornelius L. Dert	[3]
9	Janet R. Donaldson	[2]
10	Elizabeth Eskow	[5] [7] [9] [10] [12]
11	Nicholas I. M. Gould	[13] [15]
12	Gary D. Hachtel	[1]
13	Teresa Head-Gordon	[9] [10] [12]
14	Michel Heydemann	[1]
15	André van der Hoek	[7]
16	Alexander H. G. Rinnooy Kan (A. H. G. Rinnooy Kan)	[3]
17	Vincent Lamberti	[12]
18	Michael R. Lightner	[1]
19	Gabriel López-Calva	[22]
20	Peihuang Lu	[8]
21	Marcelo Marazzi	[11]
22	Will Neveitt	[20]
23	Jorge Nocedal	[4] [6] [8] [11] [13] [15] [17] [18] [19] [20] [22]
24	Klaas P. B. Oldenkamp	[5] [7]
25	Thomas M. Philip	[10]
26	Ernesto E. Prudencio	[14] [16]
27	Robert B. Schnabel	[2] [3] [5] [6] [7] [9] [10] [12]
28	Christos Triantafillou	[5]
29	Richard A. Waltz	[13] [15] [21]
30	Richard Yu	[10]
31	Ciyou Zhu	[8]

Colors in the list of coauthors

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