Donald Goldfarb
Donald Goldfarb
Verified email at columbia.edu
TitleCited byYear
A family of variable-metric methods derived by variational means
D Goldfarb
Mathematics of computation 24 (109), 23-26, 1970
30131970
An iterative regularization method for total variation-based image restoration
S Osher, M Burger, D Goldfarb, J Xu, W Yin
Multiscale Modeling & Simulation 4 (2), 460-489, 2005
16302005
Bregman iterative algorithms for \ell_1-minimization with applications to compressed sensing
W Yin, S Osher, D Goldfarb, J Darbon
SIAM Journal on Imaging sciences 1 (1), 143-168, 2008
13822008
Second-order cone programming
F Alizadeh, D Goldfarb
Mathematical programming 95 (1), 3-51, 2003
13522003
A numerically stable dual method for solving strictly convex quadratic programs
D Goldfarb, A Idnani
Mathematical programming 27 (1), 1-33, 1983
10541983
Robust portfolio selection problems
D Goldfarb, G Iyengar
Mathematics of operations research 28 (1), 1-38, 2003
8912003
Fixed point and Bregman iterative methods for matrix rank minimization
S Ma, D Goldfarb, L Chen
Mathematical Programming 128 (1-2), 321-353, 2011
8632011
The ellipsoid method: A survey
RG Bland, D Goldfarb, MJ Todd
Operations research 29 (6), 1039-1091, 1981
5731981
Alternating direction augmented Lagrangian methods for semidefinite programming
Z Wen, D Goldfarb, W Yin
Mathematical Programming Computation 2 (3-4), 203-230, 2010
3162010
Steepest-edge simplex algorithms for linear programming
JJ Forrest, D Goldfarb
Mathematical programming 57 (1-3), 341-374, 1992
2921992
Extension of Davidon’s variable metric method to maximization under linear inequality and equality constraints
D Goldfarb
SIAM Journal on Applied Mathematics 17 (4), 739-764, 1969
2911969
A practicable steepest-edge simplex algorithm
D Goldfarb, JK Reid
Mathematical Programming 12 (1), 361-371, 1977
2801977
Second-order cone programming methods for total variation-based image restoration
D Goldfarb, W Yin
SIAM Journal on Scientific Computing 27 (2), 622-645, 2005
2612005
Fast alternating linearization methods for minimizing the sum of two convex functions
D Goldfarb, S Ma, K Scheinberg
Mathematical Programming 141, 1-34, 2012
2342012
A fast algorithm for sparse reconstruction based on shrinkage, subspace optimization, and continuation
Z Wen, W Yin, D Goldfarb, Y Zhang
SIAM Journal on Scientific Computing 32 (4), 1832-1857, 2010
2252010
Robust low-rank tensor recovery: Models and algorithms
D Goldfarb, Z Qin
SIAM Journal on Matrix Analysis and Applications 35 (1), 225-253, 2014
1872014
Chapter ii linear programming
D Goldfarb, MJ Todd
Handbooks in operations research and management science 1, 73-170, 1989
1841989
Square deal: Lower bounds and improved relaxations for tensor recovery
C Mu, B Huang, J Wright, D Goldfarb
International conference on machine learning, 73-81, 2014
1792014
An O(n3L) primal interior point algorithm for convex quadratic programming
D Goldfarb, S Liu
Mathematical Programming 49 (1-3), 325-340, 1990
1711990
Sparse inverse covariance selection via alternating linearization methods
K Scheinberg, S Ma, D Goldfarb
Advances in neural information processing systems, 2101-2109, 2010
1702010
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Articles 1–20