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The chapter focuses on the two most frequently used approaches that are respectively based on tensor product and nested triangulations.
This simple approach based on tensor product stencils introduces an undesirable grid orientation dependence in the computed solution.
Differently from high order methods based on triangular elements, the SEM rely on a plain, standard, consolidated, widely accepted mathematical formulation based on tensor product, which brings tangible advantages in practical algorithm implementation.
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Another approach for computing the Moore-Penrose inverse of matrix has been proposed recently, i.e., the method based on Tensor-product matrix (see [33]).
By introducing a rotation tensor for rigid-body motion and a surface curvature tensor for the curvatures of surface, tensor expressions of curvature relations between conjugate surfaces of line contact and point contact are directly obtained based on tensor analysis.
The formulations herein are based on tensor spherical harmonics having orthogonality and completeness properties.
The first algorithm is based on a tensor product of regularized one-dimensional delta functions.
One model is based on the tensor product of different proprioceptive and tactile signals and a self-organizing map (SOM).
In Section 4, we establish the matrix model based on the tensor product for the discrete variational model such that it can easily be solved.
The values of I app and g Na for the different neurons are selected based on the tensor product of the vectors formed from I app and g Na.
In the first step, they extracted key frames based on tensors and motion vectors.
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