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A semidefinite approach for truncated \(K\)-moment problems - MaRDI portal

A semidefinite approach for truncated \(K\)-moment problems (Q1928277)

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A semidefinite approach for truncated \(K\)-moment problems
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    A semidefinite approach for truncated \(K\)-moment problems (English)
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    3 January 2013
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    From the authors' abstract: This paper proposes a semidefinite programming (SDP) approach for solving TKMP (that is, truncated \(K\)-moment problems). When \(K\) is compact, we get the following result: whether a tms (that is, a truncated moment sequence) admits a \(K\)-measure or not can be checked via solving a sequence of SDP problems; when \(y\) (that is, a finite sequence) admits no \(K\)-measure, a certificate for the nonexistence can be found; when \(y\) admits one, a representing measure for \(y\) can be obtained from solving the SDP problems under some necessary and some sufficient conditions. Moreover, we also propose a practical SDP method for finding flat extensions, which in our numerical experiments always found a finitely atomic representing measure when it exists.
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    truncated moment sequence
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    flat extension
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    representing measure
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    moment matrix
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    localizing matrix
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    semidefinite programming
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    sum of squares
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    truncated \(K\)-moment problems
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    numerical experiments
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