Results 41 to 50 of about 163,586 (163)
Some Properties of C ∗ -Graded Metric Spaces and Fixed Point Results
Journal of Mathematical Extension, 2010 In this paper, by using of C ∗ -algebra we give a metric with range in positive unit ball of a C ∗ -algebra. Indeed this is a generalization of a fuzzy metric space.
Sh. Sedghi∗, A. Gilani, M. Foozooni
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POTENSI DAN TINGKAT PEMANFAATAN SUMBERDAYA IKANDEMERSAL DI PERAIRAN KABUPATEN PEKALONGAN
Agriekonomika, 2012 Pekalongan Regency seawaters is one of potential demersal fish distribution area. If resources utilization are uncontrol, the resources will be threatened by fishing effort increase. Information about potency and utilization rate should be known.
Novita Lusi Andriani, Dian Ayunita NND
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Bayesian Non-Parametric Inference for Multivariate Peaks-over-Threshold Models
EntropyWe consider a constructive definition of the multivariate Pareto that factorizes the random vector into a radial component and an independent angular component. The former follows a univariate Pareto distribution, and the latter is defined on the surface
Peter Trubey, Bruno Sansó
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Quasi-homogeneous associative functions
International Journal of Mathematics and Mathematical Sciences, 1998 A triangular norm is a special kind of associative function on the closed unit interval [0,1]. Triangular norms (or t-norms) were introduced in the context of probabilistic metric space theory, and they have found applications also in other areas, such ...
Bruce R. Ebanks
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Graininess of RGB-Display Space
i-Perception, 2018 RGB –display space, that is, the ‘ RGB –cube’, was sampled at 3,000 locations, uniformly and randomly distributed. Fifty observers contributed 60 samples each. At each location, participants synthesised a copy of the target, using a generic colour picker.
Jan Koenderink +2 more
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On the extremal semi-Lipschitz functions
Journal of Numerical Analysis and Approximation Theory, 2002 The extremal elements of the unit balls of Banach spaces play an important role in the study of the geometry of the space as well as in various applications.
Costică Mustăţa
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MathematicsDefining an adequate unit size is often crucial in brain imaging analysis, where datasets are complex, high-dimensional, and computationally demanding. Unit size refers to the spatial resolution at which brain data is aggregated for analysis.
Jihnhee Yu, HyunAh Lee, Zohi Sternberg
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On the boundary behavior of the holomorphic sectional curvature of the Bergman metric
Le Matematiche, 2006 We obtain a conceptually new differential geometric proof of P. F. Klembeck’s result (cf. [9]) that the holomorphic sectional curvature k g (z ) of the Bergman metric of a strictly pseudoconvex domain Ω ⊂ ℂ n approaches −4/(n + 1 ...
Elisabetta Barletta
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Designing a TPMS metamaterial via deep learning and topology optimization
Frontiers in Mechanical EngineeringData-driven models that act as surrogates for computationally costly 3D topology optimization techniques are very popular because they help alleviate multiple time-consuming 3D finite element analyses during optimization.
Asha Viswanath +5 more
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