Results 61 to 70 of about 751,143 (344)
CRUSTAL DEFORMATION IN NW IRAN: INSIGHTS FROM DIFFERENT INVARIANT AND VARIANT COMPONENTS OF GEODETIC STRAIN RATE TENSORS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Northwest of Iran, as a tectonically active region, has experienced numerous devastating earthquakes. That is why it is so important to study the earth deformation in this area and to provide more precise insights.
M. Rahmani +3 more
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Optimization problems in contracted tensor networks [PDF]
Computing and Visualization in Science, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Espig, Mike +3 more
openaire +2 more sources
Tensor Regression Networks [PDF]
, 2020 Convolutional neural networks typically consist of many convolutional layers followed by one or more fully connected layers. While convolutional layers map between high-order activation tensors, the fully connected layers operate on flattened activation ...
Anandkumar, Anima +5 more
core +1 more source
Tensor network method for reversible classical computation [PDF]
, 2018 We develop a tensor network technique that can solve universal reversible classical computational problems, formulated as vertex models on a square lattice [Nat. Commun. 8, 15303 (2017)]. By encoding the truth table of each vertex constraint in a tensor,
Chamon, Claudio +4 more
core +2 more sources
Efficient computation of the second-Born self-energy using tensor-contraction operations. [PDF]
Journal of Chemical Physics, 2019 In the nonequilibrium Green's function approach, the approximation of the correlation self-energy at the second-Born level is of particular interest, since it allows for a maximal speed-up in computational scaling when used together with the generalized ...
R. Tuovinen, F. Covito, Michael A Sentef
semanticscholar +1 more source
Relative Tutte polynomials of tensor products of colored graphs [PDF]
, 2012 The tensor product $(G_1,G_2)$ of a graph $G_1$ and a pointed graph $G_2$ (containing one distinguished edge) is obtained by identifying each edge of $G_1$ with the distinguished edge of a separate copy of $G_2$, and then removing the identified edges. A
Brylawski, Chmutov, G. HETYEI, Y. DIAO
core +1 more source
Calculating contracted tensor Feynman integrals [PDF]
Physics Letters B, 2011 A recently derived approach to the tensor reduction of 5-point one-loop Feynman integrals expresses the tensor coefficients by scalar 1-point to 4-point Feynman integrals completely algebraically. In this letter we derive extremely compact algebraic expressions for the contractions of the tensor integrals with external momenta.
Fleischer, Jochem, Riemann, Tord
openaire +4 more sources
Evaluation of Urinary Sphincter Function by Rapid Magnetic Resonance Diffusion Tensor Imaging [PDF]
International Neurourology Journal, 2020 Purpose This study aimed to assess the feasibility of a rapid diffusion tensor imaging (DTI) for evaluation of the female urinary sphincter function based on differentiation between rest and muscle contraction. Methods Magnetic resonance imaging (MRI) of
Florian A. Schmid +6 more
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X-symbols for non-Abelian symmetries in tensor networks
Physical Review Research, 2020 The full exploitation of non-Abelian symmetries in tensor network states (TNSs) derived from a given lattice Hamiltonian is attractive in various aspects.
Andreas Weichselbaum
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Simulating thermal density operators with cluster expansions and tensor networks
SciPost Physics, 2023 We provide an efficient approximation for the exponential of a local operator in quantum spin systems using tensor-network representations of a cluster expansion. We benchmark this cluster tensor network operator (cluster TNO) for one-dimensional systems,
Bram Vanhecke, David Devoogdt, Frank Verstraete, Laurens Vanderstraeten
doaj +1 more source