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20122023
most citedHysteresis in Magnetic Shape Memory Composites: Modeling and Simulation

12 citations · 69 across the 29 of their papers we have counts for

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Showing 2017Show all

6 papers · 1 filter

math.AP2017

Homogenization in magnetic-shape-memory polymer composites

Sergio Conti, Martin Lenz, Matthäus Pawelczyk +1

Magnetic-shape-memory materials (e.g. specific NiMnGa alloys) react with a large change of shape to the presence of an external magnetic field. As an alternative for the difficult…

math.NA2017

Variational time discretization of Riemannian splines

Behrend Heeren, Martin Rumpf, Benedikt Wirth

We investigate a generalization of cubic splines to Riemannian manifolds. Spline curves are defined as minimizers of the spline energy - a combination of the Riemannian path energy…

math.NA2017

Branching Structures in Elastic Shape Optimization

Nora Lüthen, Martin Rumpf, Sascha Tölkes +1

Fine scale elastic structures are widespread in nature, for instances in plants or bones, whenever stiffness and low weight are required. These patterns frequently refine towards a…

math.NA2017

Computation of Optimal Transport on Discrete Metric Measure Spaces

Matthias Erbar, Martin Rumpf, Bernhard Schmitzer +1

In this paper we investigate the numerical approximation of an analogue of the Wasserstein distance for optimal transport on graphs that is defined via a discrete modification of t…

math.NA2017

Image Extrapolation for the Time Discrete Metamorphosis Model - Existence and Applications

Alexander Effland, Martin Rumpf, Florian Schäfer

The space of images can be equipped with a Riemannian metric measuring both the cost of transport of image intensities and the variation of image intensities along motion lines. Th…

math.NA2017

Smooth Interpolation of Key Frames in a Riemannian Shell Space

Pascal Huber, Ricardo Perl, Martin Rumpf

Splines and subdivision curves are flexible tools in the design and manipulation of curves in Euclidean space. In this paper we study generalizations of interpolating splines and s…