Smallest point of a polytope
This note suggests new ways for calculating the point of smallest Euclidean norm in the convex hull of a given set of points in \(R^ n\). It is shown that the problem can be formulated as a linear least-squares problem with nonnegative variables or as a least-distance problem. Numerical experiments illustrate that the least-squares problem is solved efficiently by the active set method. The advantage of the new approach lies in the solution of large sparse problems. In this case, the new formulation permits the use of row relaxation methods. In particular, the least-distance problem can be solved by Hildreth's method.
scientific article; zbMATH DE number 4091161