Zobrazeno 1 - 10
of 186
pro vyhledávání: '"Olvi L. Mangasarian"'
Autor:
Olvi L. Mangasarian
Publikováno v:
Optimization Letters. 11:1469-1475
We give linear-inequalities-based sufficient conditions for the unsolvability and solvability of the NP-hard absolute value equation: \(Ax-|x|=b\), where A is an \(n\times n\) square matrix. The satisfaction of the linear inequalities is easily verif
Autor:
Olvi L. Mangasarian, Glenn Fung
Publikováno v:
Journal of Optimization Theory and Applications. 168:551-558
We consider the problem of classifying completely or partially unlabeled data by using inequalities that contain absolute values of the data. This allows each data point to belong to either one of two classes by entering the inequality with a plus or
Autor:
Olvi L. Mangasarian
Publikováno v:
Optimization Letters. 9:1469-1474
We propose a hybrid algorithm for solving the NP-hard absolute value equation (AVE): \(Ax-|x|=b\), where \(A\) is an \(n\times n\) square matrix. The algorithm makes no assumptions on the AVE other than solvability and consists of solving iteratively
Autor:
Olvi L. Mangasarian
Publikováno v:
Optimization. 64:81-86
We consider the problem of classifying completely unlabelled data using convex inequalities that contain absolute values of the data. This allows each data point to belong to either one of two classes by entering the inequality with a plus or minus v
Autor:
Olvi L. Mangasarian
Publikováno v:
Journal of Optimization Theory and Applications. 161:870-876
By utilizing a dual complementarity property, we propose a new linear programming method for solving the NP-hard absolute value equation (AVE): Ax?|x|=b, where A is an n×n square matrix. The algorithm makes no assumptions on the AVE other than solva
Autor:
Olvi L. Mangasarian
Publikováno v:
Optimization Letters. 8:1529-1534
We consider the linear complementarity problem (LCP): $$Mz+q\ge 0, z\ge 0, z^{\prime }(Mz+q)=0$$ as an absolute value equation (AVE): $$(M+I)z+q=|(M-I)z+q|$$ , where $$M$$ is an $$n\times n$$ square matrix and $$I$$ is the identity matrix. We propose
Autor:
Olvi L. Mangasarian, GlennM. Fung
Publikováno v:
Optimization Methods and Software. 28:207-216
We propose a novel privacy-preserving random kernel approximation based on a data matrix A ∈ R m × n whose rows are divided into privately owned blocks. Each block of rows belongs to a different entity that is unwilling to share its rows or make t
Autor:
Olvi L. Mangasarian
Publikováno v:
Optimization Letters. 7:625-630
By utilizing a dual complementarity condition, we propose an iterative method for solving the NP-hard absolute value equation (AVE): Ax − |x| = b, where A is an n × n square matrix. The algorithm makes no assumptions on the AVE other than solvabil
Autor:
Benjamin Recht, Olvi L. Mangasarian
Publikováno v:
European Journal of Operational Research. 214:27-30
We consider a system of m linear equations in n variables Ax = d and give necessary and sufficient conditions for the existence of a unique solution to the system that is integer: x ∈ {−1, 1}n. We achieve this by reformulating the problem as a li
Autor:
Glenn Fung, Olvi L. Mangasarian
Publikováno v:
Journal of Optimization Theory and Applications. 151:1-10
For a bounded system of linear equalities and inequalities, we show that the NP-hard l0-norm minimization problem is completely equivalent to the concave lp-norm minimization problem, for a sufficiently small p. A local solution to the latter problem