1 citations · 4 across the 13 of their papers we have counts for
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Improved Upper Bounds for the Rank of the Determinant Tensor via Glynn's Formula
Jeong-Hoon Ju, Hayoung Choi, Taehyeong Kim
In this paper, we improve the upper bound for the tensor rank of the determinant tensor to by finding a new tensor decomposition of the ten…
Finding tensor decompositions with sparse optimization
Taehyeong Kim, Jeong-Hoon Ju, Yeongrak Kim
In this paper, we suggest a new method for a given tensor to find CP decompositions using a less number of rank tensors. The main ingredient is the Least Absolute Shrinkage and…
A new formula of the determinant tensor with symmetries
Jeong-Hoon Ju, Taehyeong Kim, Yeongrak Kim
In this paper, we present a new formula of the determinant tensor for matrices. In \cite{kim2023newdet4}, Kim, Ju, and Kim found a new formula of …
A new formula for the determinant of matrices
Taehyeong Kim, Jeong-Hoon Ju, Yeongrak Kim
In this paper, we present a new formula for the determinant of a matrix. We approach via the sparse optimization problem and derive the formula through the Least Absol…