Results 41 to 50 of about 4,092,683 (376)
How Platonic and Archimedean solids define natural equilibria of forces for tensegrity [PDF]
FME Transactions, 2019 The Platonic and Archimedean solids are a well-known vehicle to describe certain phenomena of our surrounding world. It can be stated that they define natural equilibria of forces, which can be clarified particularly through the packing of spheres. [1][2]
Eichenauer Friedrich Martin +1 more
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Nicolai maps with four-fermion interactions
Journal of High Energy Physics, 2023 Nicolai maps offer an alternative description of supersymmetric theories via nonlinear and nonlocal transformations characterized by the so-called ‘free-action’ and ‘determinant-matching’ conditions.
Lorenzo Casarin +2 more
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Electroweak Vacuum Geometry [PDF]
, 1999 We analyse symmetry breaking in the Weinberg-Salam model paying particular attention to the underlying geometry of the theory. In this context we find two natural metrics upon the vacuum manifold: an isotropic metric associated with the scalar sector ...
Kibble, T. W. B., Lepora, Nathan F.
core +3 more sources
Geometry without topology as a new conception of geometry [PDF]
, 2001 A geometric conception is a method of a geometry construction. The Riemannian geometric conception and a new T-geometric one are considered. T-geometry is built only on the basis of information included in the metric (distance between two points).
Rylov, Yuri A.
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The Geometry of Scheduling [PDF]
SIAM Journal on Computing, 2010 Conference version in FOCS ...
Kirk Pruhs, Nikhil Bansal
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Relativistic Acoustic Geometry [PDF]
, 1999 Sound wave propagation in a relativistic perfect fluid with a non-homogeneous isentropic flow is studied in terms of acoustic geometry. The sound wave equation turns out to be equivalent to the equation of motion for a massless scalar field propagating ...
(Visser M +14 more
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The geometry of learning [PDF]
Journal of Mathematical Psychology, 2018 We establish a correspondence between Pavlovian conditioning processes and fractals. The association strength at a training trial corresponds to a point in a disconnected set at a given iteration level. In this way, one can represent a training process as a hopping on a fractal set, instead of the traditional learning curve as a function of the trial ...
openaire +7 more sources
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue [PDF]
European Conference on Computer Vision, 2016 A significant weakness of most current deep Convolutional Neural Networks is the need to train them using vast amounts of manually labelled data. In this work we propose a unsupervised framework to learn a deep convolutional neural network for single ...
Ravi Garg +3 more
semanticscholar +1 more source
Stanilov-Tsankov-Videv Theory [PDF]
, 2007 We survey some recent results concerning Stanilov-Tsankov-Videv theory, conformal Osserman geometry, and Walker geometry which relate algebraic properties of the curvature operator to the underlying geometry of the manifold.Comment: This is a ...
Brozos-Vazquez, M. +8 more
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Geodesics on Calabi-Yau manifolds and winding states in nonlinear sigma models
Frontiers in Physics, 2013 We conjecture that a non-flat D-real-dimensional compact Calabi-Yau manifold, such as a quintic hypersurface with D=6, or a K3 manifold with D=4, has locally length minimizing closed geodesics, and that the number of these with length less than L grows ...
Peng eGao, Michael R. Douglas
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