Results 21 to 30 of about 15,480,478 (99)
Counterexample to a Conjecture on an Infeasible Interior-Point Method
Summary: In [the second author, SIAM J. Optim. 16, No.~4, 1110--1136 (2006; Zbl 1131.90029)], Roos proved that the devised full-step infeasible algorithm has \(O(n)\) worst-case iteration complexity. This complexity bound depends linearly on a parameter \(\bar{\kappa}(\zeta)\), which is proved to be less than \(\sqrt{2n}\).
Gu, G. (author), Roos, C. (author)
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Target localization plays a vital role in ocean sensor networks (OSNs), in which accurate position information is not only a critical need of ocean observation but a necessary condition for the implementation of ocean engineering.
Yuanyuan Zhang +6 more
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Historical terrestrial images are the only visual sources documenting alpine environments shortly after the end of the Little Ice Age. Despite their unique value, they are largely unused for quantifying environmental changes because of the difficult and ...
Sebastian Mikolka-Flöry +3 more
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On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods [PDF]
We analyze sequences generated by interior point methods (IPMs) in convex and nonconvex settings. We prove that moving the primal feasibility at the same rate as the barrier parameter $μ$ ensures the Lagrange multiplier sequence remains bounded, provided the limit point of the primal sequence has a Lagrange multiplier.
Gabriel Haeser +2 more
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Computing Weighted Analytic Center for Linear Matrix Inequalities Using Infeasible Newton’s Method
We study the problem of computing weighted analytic center for system of linear matrix inequality constraints. The problem can be solved using Standard Newton’s method.
Shafiu Jibrin
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New complexity analysis of a full Nesterov- Todd step infeasible interior-point algorithm for symmetric optimization [PDF]
summary:A full Nesterov-Todd step infeasible interior-point algorithm is proposed for solving linear programming problems over symmetric cones by using the Euclidean Jordan algebra.
Faybusovich, Leonid +3 more
core +1 more source
By using a new search direction, we propose an infeasible interior-point method for monotone linear complementarity problem. The algorithm uses only one feasibility step in each iteration, and we prove that it suffices in order to obtain a polynomial ...
Nezameddin Mahdavi-Amiri +1 more
doaj
In this paper, we propose a Mizuno-Todd-Ye predictor-corrector infeasible-interior-point method for symmetric optimization using the arc-search strategy.
Ximei Yang, Yinkui Zhang
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An infeasible interior-point algorithm for solving the $P_*$-matrix linear complementarity problem based on a kernel function with trigonometric barrier term is analyzed.
B. Kheirfam, M. Haghighi
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Optimal Control of Ascent Trajectory for Launch Vehicles: A Convex Approach
This paper presents an online ascent trajectory optimization algorithm based on optimal control and convex optimization without accurate initial guesses.
Yuan Li +3 more
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