Sentence examples for triple matrix from inspiring English sources

In Figure 6(a), we illustrate the triple matrix multiplication mapped into a cascade systolic array with the relevant MSF systolic array architecture exemplified in Figure 6(b).

The function of this systolic array is to perform the triple matrix multiplication, where matrix S has the band-Toeplitz structure [5, 6] with the width of the non-zero strip over the azimuth frame equal to Following the methodology addressed in the previous section, the triple matrix multiplication corresponding to the MSF function can be implemented using a cascade systolic array.

In parallel, the triple matrix data pattern analyzer CLASSIF1 [ 18] was used as an algorithmic data mining approach.

The local data correction factor for the establishment of the individual patient's triple matrix for the CLASSIF1 classification is determined in the same way.

Quite recently, in [26], Sönmez has introduced the domain f ( B ) of the triple band matrix B ( r, s, t ) in the sequence space f.

Let r, s and t be non-zero real numbers, and define the triple band matrix B ( r, s, t ) = { b n k ( r, s, t ) } b n k = { r, k = n, s, k = n − 1, t, k = n − 2, 0, otherwise.

Now, we consider some relations between X (where X is any of the spaces (l_{infty} tilde{B},p)), (c tilde{B},p)) or (c_{0} tilde {B},p))) and some another sequence spaces derived by the domain of the triple band matrix.

Following Kirişçi and Başar [21], Sönmez [22] has examined the sequence space X ( B ) as the set of all sequences whose B ( r, s, t ) -transforms are in the space X ∈ { ℓ ∞, ℓ p, c, c 0 }, where B ( r, s, t ) denotes the triple band matrix B ( r, s, t ) = { b n k ( r, s, t ) } defined by b n k ( r, s, t ) = { r ( n = k ), s ( n = k + 1 ), t ( n = k + 2 ), 0 otherwise.

Connecting two components in series, parallel, or feedback loop results in another system represented by another SLH triple whose matrices can be derived by simple algebraic rules [12].

Unique determination of the parameters of the triple-exponential matrix-to-fracture transfer functions is of profound importance to accurately simulate waterflooding and determine sweep efficiency in naturally fractured reservoirs.

Single-, duand, and triple-cut matrices are separately generated (vide supra).