shape gradient
Shape Gradient for Isogeometric Structural Design
... Received: date / Accepted: date Abstract The transfer of geometrical data from CAD (Computer Aided De- sign) to FEA (Finite-Element Analysis) is a bottleneck of automated design optimization procedures, yielding a loss ...
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Shape Gradient Computation in Isogeometric Analysis for Linear Elasticity
... 7 Shape optimization validation A two-dimensional test-case is first considered to validate the shape gradient computation and the optimization ...classical shape optimization problem in ...
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Active contour segmentation with a parametric shape prior: Link with the shape gradient
... a shape prior and used in two main ways: (1) a shape prior energy is com- bined with the segmentation energy into a trade-off between prior compliance and accuracy or (2) the segmentation energy is ...
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Volumetric expressions of the shape gradient of the compliance in structural shape optimization
... the shape gradient with respect to the number of Degrees of Freedom using the surface expression based on the pure displace- ment formulation and the volumetric expressions previously ...the shape ...
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Shape Gradient for Image and Video Segmentation
... local shape minimizer is obtained through the evo- lution of a deformable domain in the direction of the shape ...gradient. Shape derivation tools, coming from shape optimization ...
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Using the shape gradient for active contour segmentation: From the continuous to the discrete formulation
... is a common practice. In this paper, it is noted that the negativity of the shape derivative is not preserved, in general, by the discretization of this velocity required by implementation. In order to guarantee ...
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Stochastic Gradient Descent on a Portfolio Management Training Criterion Using the IPA Gradient Estimator
... IPA gradient estimator, obtained here by the classical backpropagation algorithm, can be used in a gradient descent procedure to converge to a local maximum of our learning criterion, the Sharpe ...
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Réponse métabolique de communautés bactériennes de Sarracenia purpurea provenant d'un gradient latitudinal et exposées à un gradient de température
... artificial and natural causes can be put forward. As psychrotrophic and psychrophilic bac- teria are difficult to grow in laboratory (Kotsyurbenko, 2005), it is possible that they were underrepresented. Some selection ...
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Shape representation and analysis of 2D compact sets by shape diagrams
... particular shape diagram for which properties have been well-defined [5] and to analyse several families of 2D sets for shape ...specific shape diagram is studied for the discrimination of convex and ...
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First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
... Stochastic gradient descent (SGD) has been widely used in machine learning due to its computational efficiency and favorable generalization ...the gradient noise in several deep learning settings admits a ...
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Iceberg shape characterization
... statistical characterization of iceberg shape and some of the initial ideas were developed with his encouragement. REFERENCES Croasdale, K., Brown, R., Campbell, P., Crocker, G., Jordaan, I., King, A., McKenna, R. ...
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3D shape perception from monocular vision, touch, and shape priors
... End Fig. 2: An overview of our interactive system that estimates 3D shape from monocular vision, touch, and shape priors. The use of intrinsic images brings in two key advantages. First, it is a unified ...
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Gradient estimates for a degenerate parabolic equation with gradient absorption and applications
... instance, ∂ t z − ∆ p z + z r = 0 in Q ∞ when r ∈ (1, p − 1) [15, 23, 28]. It has apparently remained unnoticed for second-order degenerate parabolic equations with an absorption term depending solely on the ...
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3D shape representation with spatial probabilistic distribution of intrinsic shape keypoints
... Osada’s shape functions, there were many improvements done and also new shape func- tions have been implemented, whereas the authors of [51] proposed D2a, an improvement of D2 by con- sidering area ratio of ...
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Kinetic Shape Reconstruction
... Planar shape detection. Planar shape detection consists in cluster- ing the input point data into clusters of inlier points that lie near the same ...planar shape, an input point is not necessarily ...
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Modèles d'endommagement à gradient en grandes déformations
... Résumé Gri th fut l'un des pionniers de la mécanique de la rupture, et le premier à concevoir un lien entre la propagation d'une ssure et la création d'une énergie de surface. Il a su voir la croissance d'une ssure ...
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Gradient Optics of subwavelength nanofilms,
... the gradient of refractive index of plane photonic barrier is normal to the barrier interface; the direction of wave propagation can be parallel, oblique or normal to this ...
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Multiple-Gradient Descent Algorithm (MGDA)
... two gradient-vectors u and v be at least equal to a certain limit-angle which is a function of their norms whose values are in [0, ...the gradient-vectors u and v are very different, the limit-angle is ...
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A Gradient-Based Implicit Blend
... The natural extension of using the angle between field gradients would be the use of the information on the norm of these gradients to improve blends. This norm could be used to automatically set the slope parameters of ...
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Développements récents de la méthode du gradient conjugué
... du Gradient conjugué Hestenes-Stiefel (HS) est un outil de l'optimisation numérique sans contraintes qui a une bonne performance numérique, mais aucun résultat de convergence globale avec la recherche linéaire ...
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