Results 31 to 37 of about 1,360 (37)
Lower bounds for polynomials using geometric programming
, 2011 We make use of a result of Hurwitz and Reznick, and a consequence of this result due to Fidalgo and Kovacec, to determine a new sufficient condition for a polynomial $f\in\mathbb{R}[X_1,...,X_n]$ of even degree to be a sum of squares.
Bellare M. +4 more
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A projective splitting algorithm for solving generalized mixed variational inequalities
Journal of Inequalities and Applications, 2011 In this paper, a projective splitting method for solving a class of generalized mixed variational inequalities is considered in Hilbert spaces. We investigate a general iterative algorithm, which consists of a splitting proximal point step followed by a ...
Zou Yun-zhi, Xia Fu-quan
doaj
A Non-Monotone Conjugate Subgradient Type Method for Minimization of Convex Functions
, 2019 We suggest a conjugate subgradient type method without any line-search for minimization of convex non differentiable functions. Unlike the custom methods of this class, it does not require monotone decrease of the goal function and reduces the ...
Konnov, Igor
core
A Positivstellensatz which Preserves the Coupling Pattern of Variables
, 2006 We specialize Schm\"udgen's Positivstellensatz and its Putinar and Jacobi and Prestel refinement, to the case of a polynomial $f\in R[X,Y]+R[Y,Z]$, positive on a compact basic semi algebraic set $K$ described by polynomials in $R[X,Y]$ and $R[Y,Z]$ only,
Lasserre, Jean B.
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Lp-norms, Log-barriers and Cramer transform in Optimization
, 2010 We show that the Laplace approximation of a supremum by Lp-norms has interesting consequences in optimization. For instance, the logarithmic barrier functions (LBF) of a primal convex problem P and its dual appear naturally when using this simple ...
Lasserre, Jean B., Zeron, Eduardo S.
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Employing different loss functions for the classification of images via supervised learning
Open Mathematics, 2014 Boţ Radu, Heinrich André, Wanka Gert
doaj +1 more source