Feb 1, 1994 · In practice, these methods have demonstrated superior computational performance. From a theoretical point of view, however, they have not been ...
At present the interior-point methods of choice are primal—dual infeasible-interior-point methods, where the iterates are kept positive, but allowed to be ...
A large-step infeasible path-following method is proposed for solving general linear complementarity problems with sufficient matrices.
Optimization, 3 (1993), pp. 118-133. [23] , Superlinear and quadratic convergence of primal-dual interior point algorithms for linear programming ...
Weillustrate the usefulness of these bounds by establishing thesuperlinear convergence of the algorithm presented in Wright andRalph [22] for solving the ...
In this paper, we focus on an infeasible predictor–corrector primal–dual path following interior point algorithm to solve the homogeneous feasibility model [ ...
Jan 12, 2024 · In this paper, we propose a practical initial iterate to an implementable infeasible interior point algorithm that guarantees superlinear ...
Aug 27, 2023 · In this paper, we propose a practical initial iterate to an implementable infeasible interior point algorithm that guarantees superlinear ...
May 1, 1996 · In this paper, we propose an algorithm for solving monotone geometrical LCPs, and we prove its superlinear convergence without the strictly ...
Oct 22, 2024 · In this paper, we propose a practical initial iterate to an implementable infeasible interior point algorithm that guarantees superlinear ...