Results 21 to 30 of about 15,480,478 (99)

Counterexample to a Conjecture on an Infeasible Interior-Point Method

open access: yesSIAM Journal on Optimization, 2010
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)
openaire   +4 more sources

Two-Phase Robust Target Localization in Ocean Sensor Networks Using Received Signal Strength Measurements

open access: yesSensors, 2021
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
doaj   +1 more source

Automatic orientation of historical terrestrial images in mountainous terrain using the visible horizon

open access: yesISPRS Open Journal of Photogrammetry and Remote Sensing, 2022
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
doaj   +1 more source

On the behavior of Lagrange multipliers in convex and nonconvex infeasible interior point methods [PDF]

open access: yesMathematical Programming, 2019
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
openaire   +4 more sources

Computing Weighted Analytic Center for Linear Matrix Inequalities Using Infeasible Newton’s Method

open access: yesJournal of Mathematics, 2015
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
doaj   +1 more source

New complexity analysis of a full Nesterov- Todd step infeasible interior-point algorithm for symmetric optimization [PDF]

open access: yes, 1997
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

A full-modified-Newton step infeasible interior-point method for monotone linear complementarity problem

open access: yesپژوهش‌های ریاضی, 2021
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  

A Mizuno-Todd-Ye predictor-corrector infeasible-interior-point method for symmetric optimization with the arc-search strategy

open access: yesJournal of Inequalities and Applications, 2017
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
doaj   +1 more source

An infeasible interior-point method for the $P_*$-matrix linear complementarity‎ ‎problem based on a trigonometric kernel function with full-Newton‎ ‎step

open access: yesCommunications in Combinatorics and Optimization, 2018
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
doaj   +1 more source

Optimal Control of Ascent Trajectory for Launch Vehicles: A Convex Approach

open access: yesIEEE Access, 2019
This paper presents an online ascent trajectory optimization algorithm based on optimal control and convex optimization without accurate initial guesses.
Yuan Li   +3 more
doaj   +1 more source

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