A recursive algorithm for finding the minimum norm point in a polytope and a pair of closest points in two polytopes
DOI10.1007/BF01582149zbMath0791.90046OpenAlexW2094911742MaRDI QIDQ1315417
Yoshitsugu Yamamoto, Kazuyuki Sekitani
Publication date: 27 March 1994
Published in: Mathematical Programming. Series A. Series B (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf01582149
recursive algorithmsimplicial decompositionconvex quadratic programminimum Euclidean distance pair of pointsminimum Euclidean norm point
Convex programming (90C25) (n)-dimensional polytopes (52B11) Quadratic programming (90C20) Computational methods for problems pertaining to operations research and mathematical programming (90-08)
Related Items (13)
Cites Work
- Error bounds for strongly convex programs and (super)linearly convergent iterative schemes for the least 2-norm solution of linear programs
- A DUAL ALGORITHM FOR FINDING THE MINIMUM-NORM POINT IN A POLYTOPE
- Dual gauge programs, with applications to quadratic programming and the minimum-norm problem
- Finding the nearest point in A polytope
- Error bounds for monotone linear complementarity problems
- A DUAL ALGORITHM FOR FINDING A NEAREST PAIR OF POINTS IN TWO POLYTOPES
- A Tight Upper Bound on the Rate of Convergence of Frank-Wolfe Algorithm
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