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[1] E. G. Birgin, N. Krejić and J. M. Martínez. On the employment of inexact restoration for the minimization of functions whose evaluation is subject to errors. Math. Comp.
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[2] Christian Grossmann. Smoothing techniques for exact penalty methods. Contemporary Mathematics 658 (2016) 249-265.
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[3] Nataša Krejić and J. M. Martínez. Inexact Restoration approach for minimization with inexact evaluation of the objective function. Math. Comp. 85 (2016) 1775-1791.
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[4] Aviv Gibali, Karl-Heinz Küfer and Philipp Süss. Reformulating the Pascoletti-Serafini Problem as a Bi-Level Optimization Problem. Contemporary Mathematics 636 (2015) 121-129.
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[5] Heinz H. Bauschke and Valentin R. Koch. Projection Methods: Swiss Army Knives for Solving Feasibility and Best Approximation Problems with Halfspaces. Contemporary Mathematics 636 (2015) 1-40.
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[6] Ran Davidi, Yair Censor, Reinhard W. Schulte, Sarah Geneser and Lei Xing. Feasibility-Seeking and Superiorization Algorithms Applied to Inverse Treatment Planning in Radiation Therapy. Contemporary Mathematics 636 (2015) 83-92.
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[7] Yannan Chen and Wenyu Sun. A dwindling filter line search method for unconstrained optimization. Math. Comp. 84 (2015) 187-208.
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[8] Lei-Hong Zhang and Wei Hong Yang. An efficient algorithm for second-order cone linear complementarity problems. Math. Comp. 83 (2014) 1701-1726.
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[9] Jinyan Fan. Accelerating the modified Levenberg-Marquardt method for nonlinear equations. Math. Comp. 83 (2014) 1173-1187.
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[10] Junfeng Yang and Xiaoming Yuan. Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization. Math. Comp. 82 (2013) 301-329. MR 2983026.
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[11] Nataliya Portman, Ulf Grenander and Edward R. Vrscay. GRID macroscopic growth law and its application to image inference. Quart. Appl. Math. 69 (2011) 227-260. MR 2814526.
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[12] H. H. Bauschke, J. V. Burke, F. R. Deutsch, H. S. Hundal and J. D. Vanderwerff. A new proximal point iteration that converges weakly but not in norm. Proc. Amer. Math. Soc. 133 (2005) 1829-1835. MR 2120284.
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[13] Margaret H. Wright. The interior-point revolution in optimization: History, recent developments, and lasting consequences. Bull. Amer. Math. Soc. 42 (2005) 39-56. MR 2115066.
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[14] Jerry Eriksson and Mårten E. Gulliksson. Local results for the Gauss-Newton method on constrained rank-deficient nonlinear least squares. Math. Comp. 73 (2004) 1865-1883. MR 2059740.
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[15] Yu-Hong Dai. A family of hybrid conjugate gradient methods for unconstrained optimization. Math. Comp. 72 (2003) 1317-1328. MR 1972738.
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[16] Y. H. Dai and Y. Yuan. A three-parameter family of nonlinear conjugate gradient methods. Math. Comp. 70 (2001) 1155-1167. MR 1826579.
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[17] Q. Ni and Y. Yuan. A subspace limited memory quasi-Newton algorithm for large-scale nonlinear bound constrained optimization. Math. Comp. 66 (1997) 1509-1520. MR 1422793.
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[18] A. R. Conn, Nick Gould and Ph. L. Toint. A globally convergent Lagrangian barrier algorithm for optimization with general inequality constraints and simple bounds. Math. Comp. 66 (1997) 261-288. MR 1370850.
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[19] Luís F. Portugal, Joaquím J. Júdice and Luís N. Vicente. A comparison of block pivoting and interior-point algorithms for linear least squares problems with nonnegative variables . Math. Comp. 63 (1994) 625-643. MR 1250776.
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[20] Hou De Han. A direct boundary element method for Signorini problems . Math. Comp. 55 (1990) 115-128. MR 1023048.
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[21] Andrew R. Conn, Nicholas I. M. Gould and Philippe L. Toint. Testing a class of methods for solving minimization problems with simple bounds on the variables . Math. Comp. 50 (1988) 399-430. MR 929544.
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[22] J. Stoer and R. A. Tapia. On the characterization of $q$-superlinear convergence of quasi-Newton methods for constrained optimization . Math. Comp. 49 (1987) 581-584. MR 906190.
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[23] Krzysztof C. Kiwiel. An algorithm for nonsmooth convex minimization with errors . Math. Comp. 45 (1985) 173-180. MR 790650.
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[24] Angelo Lucia. An explicit quasi-Newton update for sparse optimization calculations . Math. Comp. 40 (1983) 317-322. MR 679448.
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[25] Michael M. Kostreva. Finite test sets and $P$-matrices . Proc. Amer. Math. Soc. 84 (1982) 104-105. MR 633288.
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[26] Jorge Nocedal. Updating quasi-Newton matrices with limited storage . Math. Comp. 35 (1980) 773-782. MR 572855.
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[27] J. N. Lyness. A bench mark experiment for minimization algorithms . Math. Comp. 33 (1979) 249-264. MR 514822.
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[28] J. N. Lyness. The affine scale invariance of minimization algorithms . Math. Comp. 33 (1979) 265-287. MR 514823.
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[29] John Greenstadt. Revision of a derivative-free quasi-Newton method . Math. Comp. 32 (1978) 201-221. MR 0474810.
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[30] Ph. L. Toint. Some numerical results using a sparse matrix updating formula in unconstrained optimization . Math. Comp. 32 (1978) 839-851. MR 0483452.
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Results: 1 to 30 of 44 found      Go to page: 1 2