An algorithmic characterization of \(\mathbf P\)-matricity (Q2866216)

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scientific article; zbMATH DE number 6238068
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An algorithmic characterization of \(\mathbf P\)-matricity
scientific article; zbMATH DE number 6238068

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    13 December 2013
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    linear complementarity problem
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    semismooth Newton method
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    Newton-min algorithm
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    \(\mathbf {NM}\)-matrix
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    \(\mathbf P\)-matricity characterization
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    \(\mathbf P\)-matrix
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    An algorithmic characterization of \(\mathbf P\)-matricity (English)
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    A real matrix is a \(\mathbf P\)-matrix if its principal minors are positive. This paper gives a characterization of \(\mathbf P\)-matricity. The authors show that a matrix belongs to the class of \(\mathbf P\)-matrices if and only if the semismooth Newton algorithm does not cycle between two distinct points when it is used to solve the corresponding linear complementary problem.
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