Orthogonal least squares fitting with linear manifolds
Numerische Mathematik
Inner and outer j-radii of convex bodies in finite-dimensional normed spaces
Discrete & Computational Geometry
Note on the computational complexity of j-radii of polytopes in Rn
Mathematical Programming: Series A and B
Optimality conditions in smooth nonlinear programming
Journal of Optimization Theory and Applications
Hi-index | 0.00 |
We consider the following problem. Given a finite set of pointsy^j inR^n we want to determine a hyperplaneH such that the maximum Euclidean distance betweenH and the pointsy^j is minimized. This problem(CHOP) is a non-convex optimization problem with a special structure. Forexample, all local minima can be shown to be strongly unique. We present agenericity analysis of the problem. Two different global optimizationapproaches are considered for solving (CHOP). The first is a Lipschitzoptimization method; the other a cutting plane method for concaveoptimization. The local structure of the problem is elucidated by analysingthe relation between (CHOP) and certain associated linear optimizationproblems. We report on numerical experiments.