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Convex Analysisの二,三の進展について
徹 丸山
- Vol. 70, Iss: 1, pp 97-119
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The article was published on 1977-02-01 and is currently open access. It has received 5933 citations till now.read more
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Nature plays with dice : terrorists do not: Allocating resources to counter strategic versus probabilistic risks
TL;DR: Using linear impact functions, the problems of allocating a limited resource to defend sites that face either probabilistic risk or strategic risk are formulated as optimization problems that are solved explicitly.
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Adaptive regularization of the NL-means: Application to image and video denoising
TL;DR: A variational approach that corrects the over-smoothing and reduces the residual noise of the NL-means by adaptively regularizing nonlocal methods with the total variation by minimizing an adaptive total variation with a nonlocal data fidelity term is introduced.
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Preventing bad plans by bounding the impact of cardinality estimation errors
TL;DR: The q-error is defined to measure deviations of size estimates from actual sizes and bounds are provided such that if the q- error is smaller than this bound, the query optimizer constructs an optimal plan.
Posted ContentDOI
Pseudo-potentials and loading surfaces for an endochronic plasticity theory with isotropic damage
Silvano Erlicher,Nelly Point +1 more
TL;DR: In this article, a basic endochronic model with isotropic damage is formulated starting from the postulate of strain equivalence, and the formal tools chosen to formulate the model are those of convex analysis, often used in classical plasticity.
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Stochastic bounds on sums of dependent risks
TL;DR: In this article, Dhaene and Goovaerts extended these results by showing how to compute bounds on P(S>s) and more generally on E{φ(S)} for monotone, but not necessarily convex functions φ.