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About 10,000 papers for “Homogeneous”

Homogeneous Cones and Homogeneous Integrals

Tatjana Ostrogorski · 2020

This chapter discusses the theory of homogeneous cones. It deals with functions defined on these cones that are a generalization of the power function, and computes integrals involving such functions in much the same way as this was done for the classical case of the cone of positive definite matrices. The chapter reviews some properties of homogeneous cones, following mostly Vinberg’s paper. The most important property of these cones is that they have a simply transitive group of automorphisms. The chapter introduces functions on the cone which are analogues of the ordinary power function in one variable. It proves the convergence of the integrals and not to find the exact values.

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Homogeneous and Non Homogeneous Algorithms

Ioannis Paparrizos · arXiv (Cornell University) · 2010

Motivated by recent best case analyses for some sorting algorithms and based on the type of complexity we partition the algorithms into two classes: homogeneous and non homogeneous algorithms. Although both classes contain algorithms with worst and best cases, homogeneous algorithms behave uniformly on all instances. This partition clarifies in a completely mathematical way the previously mentioned terms and reveals that in classifying an algorithm as homogeneous or not best case analysis is equally important with worst case analysis.

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homogeneous

Hong-qi Wang, Zhan Wu, Li-juan Tang et al. · 2011

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Homogeneous

Hawley's Condensed Chemical Dictionary · 2007

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Homogeneous

Wiley Encyclopedia of Forensic Science · 2009

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Homogeneous

A. V. Minkevich, A. S. Garkun, V. I. Kudin et al. · 2007

isotropic cosmological models with pseudoscalar torsion function in Poincare gauge theory of gravity and accelerating Universe

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homogeneous

Hong-qi Wang, Zhan Wu, Li-juan Tang et al. · 2011

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Homogeneous

M.-H. Julien, H. Mayaffre, M. Horvatić et al. · Springer Link (Chiba Institute of Technology)

\n In Ba(Fe0.95Co0.05)2As2 all of the 75As NMR intensity at the paramagnetic resonance position vanishes abruptly below $T^{{\\rm onset}}_{{\\rm SDW}}$ = 56 K, indicating that magnetic (spin-density wave) order is present in all of the sample volume, despite bulk superconductivity below Tc = 15 K. The two phases thus coexist homogeneously at the microscopic scale. In Ba0.6K0.4Fe2As2, on the other hand, the signal loss below $T^{{\\rm onset}}_{{\\rm SDW}}$ $\\simeq$ 75 K is not complete, revealing that magnetic order is bound to finite-size areas of the sample, while the remaining NMR signal shows a clear superconducting response below Tc = 37 K. Thus, the two phases are not homogeneously mixed, at least for this potassium concentration. For both samples, spatial electronic and/or magnetic inhomogeneity is shown to characterize the NMR properties in the normal state.\n

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homogeneous

Pierre Degond, Amic Frouvelle, Gaël Raoul · 2014

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homogeneous

Hong-qi Wang, Zhan Wu, Li-juan Tang et al. · 2011

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Homogeneous

A. V. Minkevich, A. S. Garkun, V. I. Kudin et al. · 2006

isotropic cosmological models with pseudoscalar torsion function in Poincare gauge theory of gravity and accelerating Universe

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homogeneous

Hong-qi Wang, Zhan Wu, Li-juan Tang et al. · 2011

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homogeneous

X. L. Yang, Z. W. Huang, L. Yang · 2016

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Homogeneous

Lian-zhi Yang A, Yang Gao A, Ernian Pan C et al. · 2014

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit:

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Homogeneous

Noam Weisbrod, Michael R. Niemet, Thomas Mcginnis et al. · 2015

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