Path-following methods for linear programming CC Gonzaga
SIAM review 34 (2), 167-224, 1992
596 1992 An Algorithm for Solving Linear Programming Problems in O (n 3 L ) Operations CC Gonzaga
Progress in Mathematical Programming: Interior-Point and Related Methods, 1-28, 1989
372 1989 A globally convergent filter method for nonlinear programming CC Gonzaga, E Karas, M Vanti
SIAM Journal on Optimization 14 (3), 646-669, 2004
161 2004 Polynomial affine algorithms for linear programming CC Gonzaga
Mathematical Programming 49, 7-21, 1990
129 1990 An improved algorithm for optimization problems with functional inequality constraints C Gonzaga, E Polak, R Trahan
IEEE Transactions on Automatic Control 25 (1), 49-54, 1980
121 1980 Conical projection algorithms for linear programming CC Gonzaga
Mathematical Programming 43 (1), 151-173, 1989
115 1989 Large step path-following methods for linear programming, part I: barrier function method CC Gonzaga
SIAM Journal on Optimization 1 (2), 268-279, 1991
107 1991 On constraint dropping schemes and optimality functions for a class of outer approximations algorithms C Gonzaga, E Polak
SIAM Journal on Control and Optimization 17 (4), 477-493, 1979
99 1979 Convergence of interior point algorithms for the monotone linear complementarity problem JF Bonnans, CC Gonzaga
Mathematics of Operations Research 21 (1), 1-25, 1996
98 1996 An -Iteration Large-Step Primal-Dual Affine Algorithm for Linear Programming CC Gonzaga, MJ Todd
SIAM Journal on Optimization 2 (3), 349-359, 1992
73 1992 Convergence of the large step primal affine-scaling algorithm for primal nondegenerate linear programs CC Gonzaga
Department of Systems Engineering and Computer Sciences, COPPE-Federal …, 1990
62 1990 Global convergence of filter methods for nonlinear programming AA Ribeiro, EW Karas, CC Gonzaga
SIAM Journal on Optimization 19 (3), 1231-1249, 2008
61 2008 A nonlinear programming algorithm based on non-coercive penalty functions CC Gonzaga, RA Castillo
Mathematical Programming 96, 87-101, 2003
58 2003 The largest step path following algorithm for monotone linear complementarity problems CC Gonzaga
Mathematical Programming 76 (2), 309-332, 1997
58 1997 Large step path-following methods for linear programming, part II: Potential reduction method CC Gonzaga
SIAM Journal on Optimization 1 (2), 280-292, 1991
54 1991 On the steepest descent algorithm for quadratic functions CC Gonzaga, RM Schneider
Computational Optimization and Applications 63, 523-542, 2016
41 2016 A note on properties of condition numbers CC Gonzaga, HJ Lara
Linear Algebra and its Applications 261 (1-3), 269-273, 1997
40 1997 Fine tuning Nesterov’s steepest descent algorithm for differentiable convex programming CC Gonzaga, EW Karas
Mathematical Programming 138, 141-166, 2013
39 2013 Search directions for interior linear-programming methods CC Gonzaga
Algorithmica 6 (1), 153-181, 1991
36 1991 Examples of ill-behaved central paths in convex optimization J Charles Gilbert, CC Gonzaga, E Karas
Mathematical programming 103 (1), 63-94, 2005
35 2005