نتایج جستجو برای: michel penot subdifferential

تعداد نتایج: 8128  

2005
David R. Bevan Katherine A. Siminovitch Sandra McGugan Steven A. Grover Andrew Finnigan

s 75 02-

2007
Michel X. Goemans

We describe a few applications of semideenite programming in combinatorial optimization. Semideenite programming is a special case of convex programming where the feasible region is an aane subspace of the cone of positive semideenite matrices. There has been much interest in this area lately, partly because of applications in com-binatorial optimization and in control theory and also because o...

2009
Michel X. Goemans Debmalya Panigrahi

The point (0.5, 0.5, 0.5) ∈ P1, i.e. it satisfies the constraints above; however it is not in the convex hull of the matching vectors. The above example motivates the following family of additional constraints (introduced by Edmonds). Observe that for any matching M , the subgraph induced by M on any odd cardinality vertex subset U has at most (|U | − 1)/2 edges. Thus, without losing any of the...

Journal: :Bulletin of the Australian Mathematical Society 1993

Journal: :SIAM Journal on Optimization 2013
Lei Guo Jane J. Ye Jin Zhang

In this paper we study the mathematical program with geometric constraints such that the image of a mapping from a Banach space is included in a nonempty and closed subset of a finite dimensional space. We obtain the nonsmooth enhanced Fritz John necessary optimality conditions in terms of the approximate subdifferential. In the case where the Banach space is a weakly compactly generated Asplun...

Journal: :SIAM J. Control and Optimization 2003
James V. Burke D. Russell Luke

We apply nonsmooth analysis to a well known optical inverse problem, phase retrieval. The phase retrieval problem arises in many different modalities of electromagnetic imaging and has been studied in the optics literature for over forty years. The state of the art for this problem in two dimensions involves iterated projections for solving a nonconvex feasibility problem. Despite widespread us...

2008
Erik J. Balder

Our approach to the Karush-Kuhn-Tucker theorem in [OSC] was entirely based on subdifferential calculus (essentially, it was an outgrowth of the two subdifferential calculus rules contained in the Fenchel-Moreau and Dubovitskii-Milyutin theorems, i.e., Theorems 2.9 and 2.17 of [OSC]). On the other hand, Proposition B.4(v) in [OSC] gives an intimate connection between the subdifferential of a fun...

Journal: :SIAM Journal on Optimization 2010
Heinz H. Bauschke Xianfu Wang Liangjin Yao

Monotone operators are of basic importance in optimization as they generalize simultaneously subdifferential operators of convex functions and positive semidefinite (not necessarily symmetric) matrices. In 1970, Asplund studied the additive decomposition of a maximal monotone operator as the sum of a subdifferential operator and an “irreducible” monotone operator. In 2007, Borwein and Wiersma [...

Journal: :AJNR. American journal of neuroradiology 1999
K Marsot-Dupuch A Dominguez-Brito K Ghasli C H Chouard

In 1863, Michel described a condition characterized by a total absence of differentiated inner ear structures associated with other skull base anomalies, including an abnormal course of the facial nerve and jugular veins. Michel aplasia clearly differs from Michel dysplasia, in which arrest of embryologic development occurs later. Recently, the role of otic capsule formation on mesenchymal diff...

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