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Attention Based Optimization for 3D Shape Registration
Computer Graphics Forum, EarlyView.Abstract Transformers are sequence‐to‐sequence architectures originally designed to handle structurally rigid and order‐sensitive data, such as text and images. At their core, they exploit the attention mechanism, which is permutation‐equivariant and relies on computing token‐to‐token relationships.
A. Riva, L. Olearo, S. Melzi
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From visibility graphs to cognition. [PDF]
Front Netw PhysiolGautam S, Grigolini P.
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A Complex Tension Origin for Dilaton Gravity: Jordan Stiffness and Logarithmic Einstein Dynamics. [PDF]
Entropy (Basel)Vaillant M, Scott TC.
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Analysis of delay differential equations with dual caputo-type fractional derivatives using laplace transform methods. [PDF]
Sci RepBoumaaza M +4 more
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The Variance-Gamma Product Distribution. [PDF]
Results MathGaunt RE, Li S, Sutcliffe HL.
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Multifactorial regulation of ultrasound-induced cavitation by engineered silica nanoparticles. [PDF]
Ultrason SonochemLin J, Zhang X, Zhou Q, Cao W.
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Heterogeneous Wettability-Based Construction of Two-Phase Interfaces for Underwater Reversible Adhesion. [PDF]
Adv Sci (Weinh)Li X +11 more
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Numerical solutions of the Laplace’s equation
Applied Mathematics and Computation, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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1978
The Laplace operator acting on a function u(x) = u(x1,...,x n ) of class C2 in a region Ω is defined by $$\Delta = \sum\limits_{{k = 1}}^{n} {D_{k}^{2}}$$ (1.1) For \(u,\upsilon \in {C^{2}}\left( {\overline \Omega } \right)\) we have (see Chapter 3, (4.8), (4.9)) Green’s identities.
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The Laplace operator acting on a function u(x) = u(x1,...,x n ) of class C2 in a region Ω is defined by $$\Delta = \sum\limits_{{k = 1}}^{n} {D_{k}^{2}}$$ (1.1) For \(u,\upsilon \in {C^{2}}\left( {\overline \Omega } \right)\) we have (see Chapter 3, (4.8), (4.9)) Green’s identities.
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