Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
Iterative behaviour, fixed point of a class of monotone operators. Application to non-symmetric threshold function - MaRDI portal

Iterative behaviour, fixed point of a class of monotone operators. Application to non-symmetric threshold function (Q1104051)

From MaRDI portal





scientific article; zbMATH DE number 4054937
Language Label Description Also known as
English
Iterative behaviour, fixed point of a class of monotone operators. Application to non-symmetric threshold function
scientific article; zbMATH DE number 4054937

    Statements

    Iterative behaviour, fixed point of a class of monotone operators. Application to non-symmetric threshold function (English)
    0 references
    0 references
    0 references
    1988
    0 references
    The authors consider the iteration \(x^{KH}=YA^ tXAX^ k\) with \(x^ 0\in {\mathbb{R}}^ n\) arbitrary, where X and Y are subgradients of \(f\in \Gamma_ 0({\mathbb{R}}\) m) and \(g\in \Gamma_ 0({\mathbb{R}}^ n\)), respectively, A is an \(m\times n\) matrix. If f and g are continuous and \(\delta g(0)\supset Y({\mathbb{R}}^ n\)) then \(f(AYA^ tXAx)\geq f(Ax)\) for every A and \(x\in Y({\mathbb{R}}^ n\)). Using this result the convergence of \(\{x^ k\}\) is proved if one of f or g is polyhedral and the corresponding subgradient is discrete.
    0 references
    iterative behaviour
    0 references
    fixed point
    0 references
    monotone operators
    0 references
    cellular automatas
    0 references
    multithreshold functions
    0 references
    optimization
    0 references
    convergence
    0 references
    symmetric threshold functions
    0 references

    Identifiers