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  • Andersson, Mats, et al. (author)
  • Global search strategies for solving multilinear least-squares problems
  • 2012
  • In: Sultan Qaboos University Journal for Science. - : Sultan Qaboos University. - 1027-524X. ; 17:1, s. 12-21
  • Journal article (peer-reviewed)abstract
    • The multilinear least-squares (MLLS) problem is an extension of the linear leastsquares problem. The difference is that a multilinear operator is used in place of a matrix-vector product. The MLLS is typically a large-scale problem characterized by a large number of local minimizers. It originates, for instance, from the design of filter networks. We present a global search strategy that allows for moving from one local minimizer to a better one. The efficiency of this strategy is illustrated by results of numerical experiments performed for some problems related to the design of filter networks.
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Type of publication
journal article (1)
Type of content
peer-reviewed (1)
Author/Editor
Andersson, Mats (1)
Knutsson, Hans (1)
Burdakov, Oleg, 1953 ... (1)
Zikrin, Spartak (1)
University
Linköping University (1)
Language
English (1)
Research subject (UKÄ/SCB)
Natural sciences (1)
Engineering and Technology (1)
Year
2012 (1)

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