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The fundamental question we address in this paper is: Is it more efficient to invert the matrix in many inexpensive steps (like diagonally scaled conjugate gradient) or in fewer expensive steps (like multigrid)?
Further, the characterization of the matrix in many cases is inadequate due to missing basic parameters such as dry matter content and pH.
Further, the characterization of the matrix in many cases was inadequate due to missing parameters such as dry matter content or pH.
Normalized term-by-document matrices have been used in place of the raw term-by-document matrix in many LSA studies to good effect [29], [30], [31].
hTERT fibroblasts were selected because fibroblasts form extracellular matrix in many tissues and play important roles in various wound healing processes [24,25].
It is a widely-employed non-invasively collected matrix in many of the largest environmental studies such as the German Environmental Survey for children (GerES) [ 93], the American National Health and Nutrition Examination study (NHANES) [ 18], or the Flemish Human Biomonitoring programme [ 94].
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The emergence of large distributed matrices in many applications has brought with it a slew of new algorithms and tools.
The emergence of large matrices in many applications has brought with it a slew of new algorithms and tools.
Hyaluronate-based hydrogels have been widely exploited as synthetic extracellular matrices in many tissue engineering applications, including cartilage tissue engineering.
We note that Hadamard convolution product differs from the convolution product of matrices in many ways.
Statistics also makes use of matrices in many different forms.
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