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585
Bulk parameterization of airsea fluxes for Tropical OceanGlobal Atmosphere CoupledOcean Atmosphere Response Experiment
 Journal of Geophysical Research
, 1996
"... Abstract. This paper describes the various physical processes relating nearsurface atmospheric and oceanographic bulk variables; their relationship to the surface fluxes of momentum, sensible heat, and latent heat; and their expression in a bulk flux algorithm. The algorithm follows the standard Mo ..."
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Cited by 223 (9 self)
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in the three different cruise legs made during the Coupled OceanAtmosphere R sponse Experiment. These measurements yielded 1622 fiftymin averages of fluxes and bulk variables in the wind speed range from 0.5 to 10 rn s•. The analysis gives statistically reliable values for the Charnock [1955] constant (Ix
The duality theorem for minmax functions
 C. R. Acad.Sci.Paris.326, Série I
, 1998
"... Abstract. The set of minmax functions F: R n → R n is the least set containing coordinate substitutions and translations and closed under pointwise max, min, and function composition. The Duality Conjecture asserts that the trajectories of a minmax function, considered as a dynamical system, have ..."
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Cited by 45 (16 self)
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Abstract. The set of minmax functions F: R n → R n is the least set containing coordinate substitutions and translations and closed under pointwise max, min, and function composition. The Duality Conjecture asserts that the trajectories of a minmax function, considered as a dynamical system, have
A constructive fixed point theorem for minmax functions
 DYNAMICS AND STABILITY OF SYSTEMS
, 1999
"... Minmax functions, F: Rn → Rn, arise in modelling the dynamic behaviour of discrete event systems. They form a dense subset of those functions which are homogeneous, Fi(x1 + h, · · · , xn + h) = Fi(x1, · · · , xn) + h, monotonic, ⃗x ≤ ⃗y ⇒ F (⃗x) ≤ F (⃗y), and nonexpansive in the ℓ ∞ norm—so ..."
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Cited by 42 (12 self)
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Minmax functions, F: Rn → Rn, arise in modelling the dynamic behaviour of discrete event systems. They form a dense subset of those functions which are homogeneous, Fi(x1 + h, · · · , xn + h) = Fi(x1, · · · , xn) + h, monotonic, ⃗x ≤ ⃗y ⇒ F (⃗x) ≤ F (⃗y), and nonexpansive in the ℓ ∞ norm
Interactive Video Cutout
"... We present an interactive system for efficiently extracting foreground objects from a video. We extend previous mincut based image segmentation techniques to the domain of video with four new contributions. We provide a novel paintingbased user interface that allows users to easily indicate the ..."
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Cited by 137 (6 self)
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the foreground object across space and time. We introduce a hierarchical meanshift preprocess in order to minimize the number of nodes that mincut must operate on. Within the mincut we also define new local cost functions to augment the global costs defined in earlier work. Finally, we extend 2D alpha matting
Fuzzy Relational Equations with Maxmin Composition ∗
"... Abstract In this paper we show that the problem of minimizing a nonlinear objective function subject to a system of fuzzy relational equations with maxmin composition can be reduced to a 01 mixed integer programming problem. The reduction method can be extended to the case of fuzzy relational equa ..."
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Abstract In this paper we show that the problem of minimizing a nonlinear objective function subject to a system of fuzzy relational equations with maxmin composition can be reduced to a 01 mixed integer programming problem. The reduction method can be extended to the case of fuzzy relational
Wavelets with composite dilations
"... Abstract. A wavelet with composite dilations is a function generating an orthonormal basis or a Parseval frame for L2(Rn) under the action of lattice translations and dilations by products of elements drawn from noncommuting matrix sets A and B. Typically, the members of B are shear matrices (all e ..."
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Cited by 33 (13 self)
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Abstract. A wavelet with composite dilations is a function generating an orthonormal basis or a Parseval frame for L2(Rn) under the action of lattice translations and dilations by products of elements drawn from noncommuting matrix sets A and B. Typically, the members of B are shear matrices (all
Composition of Metabolic Flux Distributions by Functionally Interpretable Minimal Flux Modes (MinModes
 Genome Informatics
"... All cellular functions are ultimately linked to the metabolism which constitutes a highly branched network of thousands of enzymecatalyzed chemical reactions and carriermediated transport processes. Depending on the prevailing functions (e.g. detoxification of a toxin or accumulation of biomass) t ..."
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Cited by 2 (2 self)
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) the distribution of fluxes in the metabolic network may vary considerably. To better reveal and quantify this fluxfunction relationship we propose a novel computational approach which identifies distinct contributions — so called minimal flux modes (short: MinModes) — to a stationary flux distribution
Coordinate descent
"... Minimize for x ∈ RN the composite function F min x∈RN {F (x) = f(x) +ψ(x)} • f: RN → R, convex, differentiable, not strongly convex • ψ: RN → R ∪ {+∞}, convex, separable ψ(x) = n∑ i=1 ψi(x ..."
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Minimize for x ∈ RN the composite function F min x∈RN {F (x) = f(x) +ψ(x)} • f: RN → R, convex, differentiable, not strongly convex • ψ: RN → R ∪ {+∞}, convex, separable ψ(x) = n∑ i=1 ψi(x
Composition formulas in the Weyl calculus
 J. Funct. Anal
"... No symbolic calculus of operators is more popular or better known than the Weyl calculus. It is the one that associates to a function S = S(x, ξ) of n + n variables, lying in S(Rn × Rn) , the operator Op(S) , called the operator with symbol S, defined by the equation ..."
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Cited by 6 (5 self)
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No symbolic calculus of operators is more popular or better known than the Weyl calculus. It is the one that associates to a function S = S(x, ξ) of n + n variables, lying in S(Rn × Rn) , the operator Op(S) , called the operator with symbol S, defined by the equation
Let Ω be a bounded convex open subset of RN, N 1, and let J be the integral functional
, 2002
"... Abstract. We consider minimization problems of the form min u∈ϕ+W1,10 (Ω) Z Ω [f(Du(x)) − u(x)] dx where Ω RN is a bounded convex open set, and the Borel function f: RN! [0, +1] is assumed to be neither convex nor coercive. Under suitable assumptions involving the geometry of Ω and the zero level s ..."
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Abstract. We consider minimization problems of the form min u∈ϕ+W1,10 (Ω) Z Ω [f(Du(x)) − u(x)] dx where Ω RN is a bounded convex open set, and the Borel function f: RN! [0, +1] is assumed to be neither convex nor coercive. Under suitable assumptions involving the geometry of Ω and the zero level
Results 1  10
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585