Global search strategies for solving multilinear least-squares problems
2012 (English)In: Sultan Qaboos University Journal for Science, ISSN 1027-524X, Vol. 17, no 1, 12-21 p.Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
Sultan Qaboos University , 2012. Vol. 17, no 1, 12-21 p.
Global optimization; Global search strategies; Multilinear least-squares; Filter
Computational Mathematics Medical Image Processing
IdentifiersURN: urn:nbn:se:liu:diva-78918OAI: oai:DiVA.org:liu-78918DiVA: diva2:536888