Two fast algorithms for projecting a point onto the canonical simplex
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Publication:327053
DOI10.1134/S0965542516050146zbMath1352.65154OpenAlexW2487879311MaRDI QIDQ327053
G. Sh. Tamasyan, Vasily N. Malozemov
Publication date: 13 October 2016
Published in: Computational Mathematics and Mathematical Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1134/s0965542516050146
computational complexityconvergencequadratic programmingfast algorithmsoptimality conditionnumerical resultprojecting onto a simplex
Numerical mathematical programming methods (65K05) Quadratic programming (90C20) Complexity and performance of numerical algorithms (65Y20)
Related Items (5)
Projective-dual method for solving systems of linear equations with nonnegative variables ⋮ Two fast algorithms for projecting a point onto the canonical simplex ⋮ Comparative study of two fast algorithms for projecting a point to the standard simplex ⋮ Complexity Estimation for an Algorithm of Searching for Zero of a Piecewise Linear Convex Function ⋮ Unnamed Item
Cites Work
- Two fast algorithms for projecting a point onto the canonical simplex
- A finite algorithm for finding the projection of a point onto the canonical simplex of \({\mathbb R}^ n\)
- A linear-time median-finding algorithm for projecting a vector on the simplex of \({\mathbb{R}}^ n\)
- A purely geometric approach to the problem of computing the projection of a point on a simplex
- Validation of subgradient optimization
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