Results 21 to 30 of about 61 (39)
Data integration with high dimensionality. [PDF]
Gao X, Carroll RJ.
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Shape retrieval using hierarchical total Bregman soft clustering. [PDF]
Liu M, Vemuri BC, Amari S, Nielsen F.
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On the directional asymptotic approach in optimization theory. [PDF]
Benko M, Mehlitz P.
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Isolated Calmness of Perturbation Mappings and Superlinear Convergence of Newton-Type Methods. [PDF]
Benko M, Mehlitz P.
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A characterization of paratingent cone andP-subderivative with applications in nonsmooth analysis [PDF]
Characterizations of the paratingent cone to an open set at a boundary point and the \(P\)-directional derivative of a real-valued continuous function are given by using the contingent cone and the contingent directional derivative, respectively. It is shown that these results are useful to establish sufficient condition for strict differentiability of
Yuntong Wang
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Lipschitz functions with prescribed derivatives and subderivatives
The authors present a technique for constructing locally Lipschitz functions (on a separable Banach space \(X\)) which are not built-up from either convex or distance functions. In detail, in their main theorem they provide the following result: If \(f_1,f_2,\dots, f_n\) are real-valued locally Lipschitz functions on \(X\) with minimal Clarke ...
Borwein, Jonathan M.+2 more
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Derivatives and subderivatives of buffered probability of exceedance
Abstract In this letter, we study the derivatives and subderivatives of buffered probability of exceedance (bPOE), in which we provide the mathematical expressions with rigorous proofs for the case when bPOE is smooth. Furthermore, we extend the study to a general non-smooth case for which a set of quasigradients are explored, under a mild assumption,
Yongpei Guan, Tong Zhang, Stan Uryasev
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Approximate mean value theorem for upper subderivatives
THE PURPOSE of this paper is to give a mean value theorem for a lower semicontinuous function f on a Banach space, using the upper subderivatives defined by Rockafellar [l]. As will be shown by example (Section 4), it may happen that the subdifferential af(x) is empty for all x in the closed line segment [a, 61, where a and b belong to X.
Dariusz Zagrodny
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Lagrange multipliers and subderivatives of optimal value functions in nonlinear programming
For finite-dimensional optimization problems with locally Lipschitzian equality and inequality constraints and also an abstract constraint described by a closed set, a Lagrange multiplier rule is derived that is sharper is in some respects than the ones of Clarke and Hiriart-Urruty.
R. T. Rockafellar
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