Results 21 to 30 of about 27,103 (155)
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)
openaire +4 more sources
Convergence Analysis of an Inexact Feasible Interior Point Method for Convex Quadratic Programming [PDF]
In this paper we will discuss two variants of an inexact feasible interior point algorithm for convex quadratic programming. We will consider two different neighbourhoods: a (small) one induced by the use of the Euclidean norm which yields a short-step ...
Andersen E. D., Jacek Gondzio
core +2 more sources
Slow Adaptive OFDMA Systems Through Chance Constrained Programming [PDF]
Adaptive OFDMA has recently been recognized as a promising technique for providing high spectral efficiency in future broadband wireless systems. The research over the last decade on adaptive OFDMA systems has focused on adapting the allocation of radio ...
Jun, Ying +4 more
core +2 more sources
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
doaj +1 more source
Computational Complexity versus Statistical Performance on Sparse Recovery Problems [PDF]
We show that several classical quantities controlling compressed sensing performance directly match classical parameters controlling algorithmic complexity.
Boumal, Nicolas +2 more
core +5 more sources
Revisiting interval protection, a.k.a. partial cell suppression, for tabular data [PDF]
The final publication is available at link.springer.comInterval protection or partial cell suppression was introduced in “M. Fischetti, J.-J. Salazar, Partial cell suppression: A new methodology for statistical disclosure control, Statistics and ...
Castro Pérez, Jordi +1 more
core +1 more source
Convergence Analysis of the Inexact Infeasible Interior-Point Method for Linear Optimization [PDF]
This article studies the use of a primal-dual interior point method for solving large scale linear programs. The article begins with a presentation of the background to this problem and an overview of the existing literature, including the use of Preconditioned Conjugate Gradients (PCG) for inexact infeasible path-following algorithms.
Al-Jeiroudi, G., Gondzio, J.
openaire +2 more sources
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
Introducing the sequential linear programming level-set method for topology optimization [PDF]
The authors would like to thank Numerical Analysis Group at the Rutherford Appleton Laboratory for their FORTRAN HSL packages (HSL, a collection of Fortran codes for large-scale scientific computation. See http://www.hsl.rl.ac.uk/).
Dunning, Peter D., Kim, H. Alicia
core +3 more sources
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

