Another successful matrix decomposition method GoDec studied the approximated "low-rank + sparse" decomposition of a matrix X by estimating the low-rank part L and the sparse part S from X, allowing noise, that is, X = L + S + e, and constrained the rank range of L and the cardinality range of S [ 13].
The rum times for Fastmap and Pconsequence4 and 0.274 secofdimension
In order to be confined to problems with an analytical solution, the vehicle dynamics is approximated by low order linear models.
Also, the number of polymerase errors approximated the low interspecific variation in some cases.
At distances of 15 m and greater, RM30 routinely failed to detect human subjects at distances that approximated the low intertidal.
It is shown that the multistage model and others which incorporate background additively are well approximated in low dose region by a linear function.
Informally, co-inheritance has been approximated by low Hamming distance (e.g, three bits or less) between phyletic vectors [ 18], but a more systematic analysis indicated that other distance/similarity measures, in particular those based on correlation, can greatly improve the sensitivity of functional inference from co-inheritance [ 26].
This paper presents an approximate low power Repetitive Iteration CORDIC (RICO) architecture that calculates sine/cosine values very efficiently.
The wards are in the lowest and middle tertiles of deprivation according to the multiple index of deprivation (IMD [ 27] for the city of Bristol and are therefore deemed to approximate low and middle socioeconomic status (SES) areas of the city.
However, for men, we chose 13.5 g/L for anemia rather than the WHO cutpoint for men (13.0 g/L) [ 20] because it approximated the lowest deciles for men (12 g/dL was the lowest decile for women) and was consistent with previous ARIC studies [ 11].
The corresponding multidimensional arrays are approximated by low-rank tensor-train decompositions reducing them to combinations of small low-dimensional arrays, eventually to matrices for which we can use fast algorithms of linear algebra.
