Results 71 to 80 of about 174 (149)
, 2003 The Second-Order Cone Complementarity Problem (SOCCP) is a wide class of problems containing the Nonlinear Complementarity Problem (NCP) and the Second-Order Cone Programming Problem (SOCP).
Nobuo Yamashita +2 more
core
, 1997 . In this paper we present a convergence analysis for some inexact variants of the infeasible-interior-point-algorithm of Kojima, Megiddo and Mizuno. These variants allow the use of search directions that are calculated from the defining linear system ...
Janos Korzak, Preprint Bughw-sc
core
Remarks On The Numerical Solution Of Certain Linear Complementarity Problems
, 2007 . In a recent paper, J. K. Aitchison and N. K. Upton have proposed a mathematical model of the behaviour of a cloud formed immediately after the sudden release of a pollutant, together with an algorithm for determining numerical solutions of the ...
Michele Benzi
core
Superlinear Convergence And Implicit Filtering
, 1999 . In this note we show how the implicit filtering algorithm can be coupled with the BFGS quasi-Newton update to obtain a superlinearly convergent iteration if the noise in the objective function decays sufficiently rapidly as the optimal point is ...
Choi Kelley, T. D. Choi, C. T. Kelley
core
Mathematical programming via the least-squares method
Open Mathematics, 2010 Übi Evald
doaj +1 more source
On compositions of special cases of Lipschitz continuous operators. [PDF]
Fixed Point Theory Algorithm Sci Eng, 2021 Giselsson P, Moursi WM.
europepmc +1 more source
A class of gradient unconstrained minimization algorithms with adaptive stepsize
, 2000 In this paper the development, convergence theory and numerical testing of a class of gradient unconstrained minimization algorithms with adaptive stepsize are presented.
Lambrinos, JN +3 more
core
Evaluation Of Large-Scale Optimization Problems On Vector And Parallel Architectures
, 1994 . We examine the importance of problem formulation for the solution of large-scale optimization problems on high-performance architectures. We use limited memory variable metric methods to illustrate performance issues.
Jorge J. Moré, Brett M. Averick
core
CT IMAGE RECONSTRUCTION ON A LOW DIMENSIONAL MANIFOLD. [PDF]
Inverse Probl Imaging (Springfield), 2019 Cong W +5 more
europepmc +1 more source