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Neural Material: Learning Elastic Constitutive Material and Damping Models from Sparse Data
The challenge is that such data is sparse as it is consistently given only on part of the surface.
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Faster gradient descent and the efficient recovery of images
For unconstrained convex quadratic optimization these methods can converge much faster than steepest descent.
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