Weighted Geometric Mean, Minimum Mediated Set, and Optimal Simple Second-Order Cone Representation
研究了加权几何均值的最优简单二阶锥表示，发现其与最小中介集紧密相关，给出了上下界、精确解及算法，并应用于多项式优化、矩阵优化和量子信息。
.We study optimal simple second-order cone representations (a particular subclass of second-order cone representations) for weighted geometric means, which turns out to be closely related to minimum mediated sets. Several lower bounds and upper bounds on the size of optimal simple second-order cone representations are proved. In the case of bivariate weighted geometric means (equivalently, one-dimensional mediated sets), we are able to prove the exact size of an optimal simple second-order cone representation and give an algorithm to compute one. In the genenal case, fast heuristic algorithms and traversal algorithms are proposed to compute an approximately optimal simple second-order cone representation. Finally, applications to polynomial optimization, matrix optimization, and quantum information are provided.Keywordsweighted geometric meanminimum mediated setsecond-order cone representationpolynomial optimizationsemidefinite representationMSC codes90C2590C2290C23