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We propose a computational approach to systematically find decentralized H-infinity suboptimal controllers for general unstructured models. Exploiting the quadratically invariant model projection and ...
In this paper we describe an intuitionistic method for dependency parsing, where a classifier is used to determine whether a pair of words forms a dependency edge.And we also propose an effective stra...
In this paper,the problem of minimizing a convex function subject to linear constraints is considered.An algorithm which is a combination of DFP variable metric method with generalized gradient projec...
摘要 The principal component analysis (PCA) is one of the most celebrated methods in analysing multivariate data. An effort of extending PCA is projection pursuit (PP), a more general class of dimension...
摘要 In this paper, we present a family of gradient projection method with arbitrary initial point. The formula of search direction in the method is unitary. The convergent conditions of the method are ...
摘要 In 1983, Du and Sun gave an algorithm which possesses superiorities of both Rosen's gradient projection method and Wolfe's reduced gradient method. However, in order to have theprovable global conv...
For unconstrained optimization, a new hybrid projection algorithm is presented in the paper. This algorithm has some attractive convergence properties. onvergence theory can be obtained under the co...
In [1] we proved a general result on the directional derivative of optimal value functions in mathematical programming problems. In this paper, we prove, in addition to the general theorem, several ot...

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