Frank E. Curtis
Cited by
Cited by
Optimization methods for large-scale machine learning
L Bottou, FE Curtis, J Nocedal
SIAM Review 60 (2), 223-311, 2018
A trust region algorithm with a worst-case iteration complexity of for nonconvex optimization
FE Curtis, DP Robinson, M Samadi
Mathematical Programming, 1-32, 2016
A sequential quadratic programming algorithm for nonconvex, nonsmooth constrained optimization
FE Curtis, ML Overton
SIAM Journal on Optimization 22 (2), 474-500, 2012
A BFGS-SQP Method for Nonsmooth, Nonconvex, Constrained Optimization and its Evaluation using Relative Minimization Profiles
FE Curtis, T Mitchell, ML Overton
Optimization Methods and Software 31 (1), 148-181, 2017
An inexact SQP method for equality constrained optimization
RH Byrd, FE Curtis, J Nocedal
SIAM Journal on Optimization 19 (1), 351-369, 2008
Gradient sampling methods for nonsmooth optimization
JV Burke, FE Curtis, AS Lewis, ML Overton, LEA Simões
Numerical nonsmooth optimization: State of the art algorithms, 201-225, 2020
A quasi-Newton algorithm for nonconvex, nonsmooth optimization with global convergence guarantees
FE Curtis, X Que
Mathematical Programming Computation 7 (4), 399-428, 2015
Infeasibility detection and SQP methods for nonlinear optimization
RH Byrd, FE Curtis, J Nocedal
SIAM Journal on Optimization 20 (5), 2281-2299, 2010
An interior-point algorithm for large-scale nonlinear optimization with inexact step computations
FE Curtis, O Schenk, A Wächter
SIAM Journal on Scientific Computing 32 (6), 3447-3475, 2010
An adaptive gradient sampling algorithm for nonsmooth optimization
FE Curtis, X Que
Optimization Methods and Software 28 (6), 1302-1324, 2013
Optimization methods for supervised machine learning: From linear models to deep learning
FE Curtis, K Scheinberg
Leading developments from INFORMS communities, 89-114, 2017
An inexact Newton method for nonconvex equality constrained optimization
RH Byrd, FE Curtis, J Nocedal
Mathematical Programming 122 (2), 273-299, 2010
Exploiting negative curvature in deterministic and stochastic optimization
FE Curtis, DP Robinson
Mathematical Programming 176, 69-94, 2019
An adaptive augmented Lagrangian method for large-scale constrained optimization
FE Curtis, H Jiang, DP Robinson
Mathematical Programming 152 (1-2), 201-245, 2015
A globally convergent primal-dual active-set framework for large-scale convex quadratic optimization
FE Curtis, Z Han, DP Robinson
Computational Optimization and Applications 60 (2), 311-341, 2015
Sequential quadratic optimization for nonlinear equality constrained stochastic optimization
AS Berahas, FE Curtis, D Robinson, B Zhou
SIAM Journal on Optimization 31 (2), 1352-1379, 2021
ADMM for multiaffine constrained optimization
W Gao, D Goldfarb, FE Curtis
Optimization Methods and Software 35 (2), 257-303, 2020
A stochastic trust region algorithm based on careful step normalization
FE Curtis, K Scheinberg, R Shi
Informs Journal on Optimization 1 (3), 200-220, 2019
A matrix-free algorithm for equality constrained optimization problems with rank-deficient Jacobians
FE Curtis, J Nocedal, A Wächter
SIAM Journal on Optimization 20 (3), 1224-1249, 2009
Flexible penalty functions for nonlinear constrained optimization
FE Curtis, J Nocedal
IMA Journal of Numerical Analysis 28 (4), 749-769, 2008
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