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Finally, we prove that all compact Cauchy matrices could be modified into an involution compact Cauchy matrix, and show how to maximize the occurrences of entry “1” in a compact Cauchy matrix.
Journal ArticleDOI
Daniel L. Rubenson, Mark A. Runco 
202 Citations
The model predicts how much of an investment individuals are likely to make, and shows how this depends upon intrinsic and extrinsic factors.
This explains extramitochondrial release of superoxide but raises the question of how superoxide could reach the matrix.
While the interpretation I suggest cannot provide all that Danto initially imagined for his style matrix, it does maintain much that was theoretically beneficial in it
This matrix enables entrepreneurs to grasp how private equity investors evaluate their firms.
Open accessJournal ArticleDOI
Dongpo Xu, Danilo P. Mandic 
73 Citations
Illustrative examples show how the proposed quaternion matrix derivatives can be used as an important tool for solving optimization problems in signal processing applications.
But if the Matrix draws on and makes use of philosophical themes, we can also in turn make use of The Matrix to illustrate and critically reflect on philosophical themes.
The new model can learn much sparser matrix factorization.
The matrix formula is suitable to determine accurate values, while the Monte-Carlo simulation can give much more detailed information.
This shows that the differential properties in the matrix case are much more complicated than in the scalar situation.
It is shown that these relations can be used to make easier the computation of the matrix elements.
However, this did not explain the matrix changes seen in the SCC lines, since the undifferentiated normal keratinocytes produced a normal pattern of extracellular matrix components.
We translate the matrix concept for designers and managers who are considering a matrix organization and argue that three factors are critical for its success: (1) Strong purpose: Only choose the matrix structure if there are strong reasons for doing so, (2) Alignment among contingencies: A matrix can only be successful if key contingencies are aligned with the matrix’s purpose, and (3) Management of junctions: The success of a matrix depends on how well activities at the junctions of the matrix are managed.

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