Results 11 to 20 of about 7,476 (217)
Automatic differentiable numerical renormalization group
Machine learning techniques have recently gained prominence in physics, yielding a host of new results and insights. One key concept is that of backpropagation, which computes the exact gradient of any output of a program with respect to any input.
Jonas B. Rigo, Andrew K. Mitchell
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Holographic Renormalization Group [PDF]
95 pages, 6 figures. Typos are corrected.
Fukuma, Masafumi +2 more
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Neural Monte Carlo renormalization group
The key idea behind the renormalization group (RG) transformation is that properties of physical systems with very different microscopic makeups can be characterized by a few universal parameters.
Jui-Hui Chung, Ying-Jer Kao
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Global renormalization group [PDF]
LaTex, 39 pages. Final version, to appear in Phys.
Alexandre J., Branchina V., Polonyi J.
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Higher logarithms and ε-poles for the MS-like renormalization prescriptions
We consider a version of dimensional regularization (reduction) in which the dimensionful regularization parameter Λ is in general different from the renormalization scale μ.
N. P. Meshcheriakov +2 more
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Ward-constrained melonic renormalization group flow
In recent years, interesting investigations of the nonperturbative renormalization group equations for tensorial group field theories have been performed in the truncation method, while completely discarding the Ward identities from their analysis.
Vincent Lahoche, Dine Ousmane Samary
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Leading all-loop quantum contribution to the effective potential in general scalar field theory
The RG equation for the effective potential in the leading log (LL) approximation is constructed which is valid for an arbitrary scalar field theory in 4 dimensions.
D. I. Kazakov +2 more
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On the holographic renormalization group [PDF]
14 pages, no ...
de Boer, J. +2 more
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Hard-soft renormalization and the exact renormalization group [PDF]
20 pages, RevTex; changes in Abstract, Introduction and Conclusions; Note added in proof; to be published in Nucl.Phys ...
Pernici, M., Raciti, M., Riva, F.
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The Holographic Renormalization Group [PDF]
In this lecture, we review the derivation of the holographic renormalization group given in hep-th/9912012. Some extra background material is included, and various applications are discussed.
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