On a multidimensional search technique and its application to the Euclidean one centre problem
SIAM Journal on Computing
A simple algorithm for computing the smallest enclosing circle
Information Processing Letters
On the complexity of approximating the maximal inscribed ellipsoid for a polytope
Mathematical Programming: Series A and B
Calculating a minimal sphere containing a polytope defined by a system of linear inequalities
Computational Optimization and Applications
Exact primitives for smallest enclosing ellipses
SCG '97 Proceedings of the thirteenth annual symposium on Computational geometry
Lectures on modern convex optimization: analysis, algorithms, and engineering applications
Lectures on modern convex optimization: analysis, algorithms, and engineering applications
On Numerical Solution of the Maximum Volume Ellipsoid Problem
SIAM Journal on Optimization
Computation of Minimum-Volume Covering Ellipsoids
Operations Research
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In this paper, we will propose algorithms for calculating a minimal ellipsoid circumscribing a polytope defined by a system of linear inequalities. If we know all vertices of the polytope and its cardinality is not very large, we can solve the problem in an efficient manner by a number of existent algorithms. However, when the polytope is defined by linear inequalities, these algorithms may not work since the cardinality of vertices may be huge. Based on a fact that vertices determining an ellipsoid are only a fraction of these vertices, we propose algorithms which iteratively calculate an ellipsoid which covers a subset of vertices. Numerical experiment shows that these algorithms perform well for polytopes of dimension up to seven.