نتایج جستجو برای: entropy generation minimization

تعداد نتایج: 448612  

ژورنال: :اقتصاد مقداری 0
behrouz sadeghi amroabadi phd candidate in isfahan university brian d. fath professor, biology department, towson university mohsen renani professor, economic department, isfahan university

an economic system is comprised of different primary flows that can be captured in macroeconomic models with complex network relations. theoretically and empirically in this system, weak substitution or complementarity of environmental materials, like energy and other production factors such as capital, is undeniable. this is an effective critique on neoclassical economics. in this paper, we vi...

The present work illustrates the variable viscosity of dust nanofluid runs over a permeable stretched sheet with thermal radiation. The problem has been modelled mathematically introducing the mixed convective condition and magnetic effect. Additionally analysis of entropy generation and Bejan number provides the fine points of the flow. The of model equations are transformed into non-linear or...

A. Zamzamian

fluids for various industrial applications because of their excellent thermal performance. This study analytically and experimentally examines the effects of nanoparticle dispersion on the entropy generation of EG–Al2O3 ...

Journal: :journal of medical signals and sensors 0
elham jokar mohammad mikaili

random number generation is one of the human abilities. it is proven that the sequence of random numbers generated by people do not follow full randomness criteria. these numbers produced by brain activity seem to be completely non stationary. in this paper, we show that there is a distinction between the random numbers generated by different people who provides the discrimination capability, a...

2014
Adrian Weller Kui Tang Tony Jebara David Sontag

Belief propagation is a remarkably effective tool for inference, even when applied to networks with cycles. It may be viewed as a way to seek the minimum of the Bethe free energy, though with no convergence guarantee in general. A variational perspective shows that, compared to exact inference, this minimization employs two forms of approximation: (i) the true entropy is approximated by the Bet...

2012
Duy V. N. Luong Panos Parpas Daniel Rueckert Berç Rustem

Markov Random Fields (MRF) minimization is a well-known problem in computer vision. We consider the augmented dual of the MRF minimization problem and develop a Mirror Descent algorithm based on weighted Entropy and Euclidean Projection. The augmented dual problem consists of maximizing a non-differentiable objective function subject to simplex and linear constraints. We analyze the convergence...

2001
MIHAELA ULIERU

This paper proposes fuzzy entropy minimization as an emergent property of holonic structures. When applied in the context of multi-agent systems this emergent property leads to automatic clustering of the agents into holonic organizations. When modeling enterprises as software agents the property turns into an inherent characteristic of holonic virtual organizations that enables clustering the ...

2014
Adrian Weller Kui Tang David Sontag Tony Jebara

Belief propagation is a remarkably effective tool for inference, even when applied to networks with cycles. It may be viewed as a way to seek the minimum of the Bethe free energy, though with no convergence guarantee in general. A variational perspective shows that, compared to exact inference, this minimization employs two forms of approximation: (i) the true entropy is approximated by the Bet...

1997
Nina Gantert

Schrr odinger processes are deened as mixtures of Brownian bridges which preserve the Markov property. In nite dimensions, they can be characterized as h-transforms in the sense of Doob for some space-time harmonic function h of Brownian motion, and also as solutions to a large deviation problem introduced by Schrr odinger which involves minimization of relative entropy with given marginals. As...

A. Aghaei G.A. Sheikhzadeh H.R. Ehteram M. Hajiahmadi

Natural convection heat transfer has many applications in different fields of industry; such as cooling industries, electronic transformer devices and ventilation equipment; due to simple process, economic advantage, low noise and renewed retrieval. Recently, heat transfer of nanofluids have been considered because of higher thermal conductivity coefficient compared with those of ordinary fluid...

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