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Xin Liu’s research was supported in part by the National Natural Science Foundation of China(No.11971466);Key Research Program of Frontier Sciences,Chinese Academy of Sciences(No.ZDBS-LY-7022);the National Center for Mathematics and Interdisciplinary Sciences,Chinese Academy of Sciences and the Youth Innovation Promotion Association,CAS.Zai-Wen Wen’s research was supported in part by the the National Natural Science Foundation of China(Nos.11421101 and 11831002);the Beijing Academy of Artificial Intelligence.Ya-Xiang Yuan’s research was supported in part by the National Natural Science Foundation of China(Nos.11331012 and 11461161005).
Manifold optimization is ubiquitous in computational and appliedmathematics,statistics,engineering,machine learning,physics,chemistry,etc.One of the main challenges usually is the non-convexity of the manifold constra...
supported by NSFC(Grant Nos.11331012 and 11461161005)
We present a partial first-order affine-scaling method for solving smooth optimization with linear inequality constraints. At each iteration, the algorithm considers a subset of the constraints to reduce the complexit...
supported by the National Natural Science Foundation of China(Nos.11331012,11571014,and 11731013)
With the rapid growth in fingerprint databases, it has become necessary to develop excellent fingerprint indexing to achieve efficiency and accuracy. Fingerprint indexing has been widely studied with real-valued featu...
the National Natural Science Foundation of China(Nos.11331012 and 11301516).
In this paper,we consider the problem of computing the smallest enclosing ball(SEB)of a set of m balls in Rn,where the product mn is large.We first approximate the non-differentiable SEB problem by its log-exponentia...
Qian Dong was supported in part by the National Natural Science Foundation of China(Nos.11331012,11321061 and 11461161005);Xin Liu was supported in part by the National Natural Science Foundation of China(Nos.11101409,11331012,11471325 and 11461161005);China 863 Program(No.2013AA122902);the National Center for Mathematics and Interdisciplinary Sciences,Chinese Academy of Sciences;Zai-Wen Wen was supported in part by the National Natural Science Foundation of China(Nos.11322109 and 91330202);Ya-Xiang Yuan was supported in part by the National Natural Science Foundation of China(Nos.11331012,11321061 and 11461161005).
In this paper,we investigate a parallel subspace correction framework for composite convex optimization.The variables are first divided into a few blocks based on certain rules.At each iteration,the algorithms solve a...