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Adjustable robust solutions of uncertain linear programs
, 2004
"... We consider linear programs with uncertain parameters, lying in some prescribed uncertainty set, where part of the variables must be determined before the realization of the uncertain parameters (“nonadjustable variables”), while the other part are variables that can be chosen after the realization ..."
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Cited by 370 (12 self)
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We consider linear programs with uncertain parameters, lying in some prescribed uncertainty set, where part of the variables must be determined before the realization of the uncertain parameters (“nonadjustable variables”), while the other part are variables that can be chosen after
The Fast Construction of Extension Velocities in Level Set Methods
 Journal of Computational Physics
, 1997
"... Level set techniques are numerical techniques for tracking the evolution of interfaces. They rely on two central embeddings; rst the embedding of the interface as the zero level set of a higher dimensional function, and second, the embedding (or extension) of the interface's velocity to this hi ..."
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Cited by 218 (12 self)
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Level set techniques are numerical techniques for tracking the evolution of interfaces. They rely on two central embeddings; rst the embedding of the interface as the zero level set of a higher dimensional function, and second, the embedding (or extension) of the interface's velocity
Functions with prescribed singularities
 J. Eur. Math. Soc. (JEMS
"... Abstract. The distributional kdimensional Jacobian of a map u in the Sobolev space W 1,k−1 which takes values in the the sphere S k−1 can be viewed as the boundary of a rectifiable current of codimension k carried by (part of) the singularity of u which is topologically relevant. The main purpose o ..."
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Cited by 23 (3 self)
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, and can be used in the constructive part of the proof of a Γconvergence result for functionals of GinzburgLandau type, as described in [2].
On ThreeLayer Architectures
 Artificial Intelligence and Mobile Robots
, 1998
"... firestorm of interest in autonomous robots with the introduction of the Subsumption architecture 1 [Brooks86]. At the time, the dominant view in the AI community was that a control system for an autonomous mobile robot should be decomposed into three functional elements: a sensing system, a planning ..."
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Cited by 207 (1 self)
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firestorm of interest in autonomous robots with the introduction of the Subsumption architecture 1 [Brooks86]. At the time, the dominant view in the AI community was that a control system for an autonomous mobile robot should be decomposed into three functional elements: a sensing system, a
Learning the kernel function via regularization
 Journal of Machine Learning Research
, 2005
"... We study the problem of finding an optimal kernel from a prescribed convex set of kernels K for learning a realvalued function by regularization. We establish for a wide variety of regularization functionals that this leads to a convex optimization problem and, for square loss regularization, we ch ..."
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Cited by 151 (8 self)
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We study the problem of finding an optimal kernel from a prescribed convex set of kernels K for learning a realvalued function by regularization. We establish for a wide variety of regularization functionals that this leads to a convex optimization problem and, for square loss regularization, we
Prescribed fire
, 2011
"... journal homepage: www.elsevie~.com/locate{foreco·. Yellow pine regeneration as a function of fire severity and postburn stand ..."
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journal homepage: www.elsevie~.com/locate{foreco·. Yellow pine regeneration as a function of fire severity and postburn stand
The problem of prescribed critical functions
, 2008
"... Let (M,g) be a compact Riemannian manifold on dimension n ≥ 4 not conformally diffeomorphic to the sphere S n. We prove that a smooth function f on M is a critical function for a metric ˜g conformal to g if and only if there exists x ∈ M such that f(x)> 0. ..."
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Let (M,g) be a compact Riemannian manifold on dimension n ≥ 4 not conformally diffeomorphic to the sphere S n. We prove that a smooth function f on M is a critical function for a metric ˜g conformal to g if and only if there exists x ∈ M such that f(x)> 0.
Rational functions with prescribed critical points
 Geom. Funct. Anal
, 2002
"... Abstract. A rational function is the ratio of two polynomials without common roots. Its degree is the maximum of the degrees of the numerator and the denominator. Rational functions belong to the same class if one turns into another by the postcomposition with a linearfractional transformation. We ..."
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Cited by 23 (6 self)
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Abstract. A rational function is the ratio of two polynomials without common roots. Its degree is the maximum of the degrees of the numerator and the denominator. Rational functions belong to the same class if one turns into another by the postcomposition with a linearfractional transformation. We
The [14C]deoxyglucose method for the measurement of local cerebral glucose utilization: theory, procedure, and normal values in the conscious and anesthetized albino rat
 J Neurochem. 1977;28:897
"... AbstractA method has been developed for the simultaneous measurement of the rates of glucose consumption in the various structural and functional components of the brain in vivo. The method can be applied to most laboratory animals in the conscious state. It is based on the use of zdeoxy~ [' ..."
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Cited by 187 (6 self)
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AbstractA method has been developed for the simultaneous measurement of the rates of glucose consumption in the various structural and functional components of the brain in vivo. The method can be applied to most laboratory animals in the conscious state. It is based on the use of zdeoxy~ [&apos
Results 1  10
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3,353