Sentence examples for multiplication vector from inspiring English sources

Exact(3)

There is a range of optimized instructions provided to meet the high throughput of DSP baseband operations like FFT, Complex multiplication, vector division, vector reciprocal, square root etc.

It can be observed from Fig. 2 that the hardware architecture consists of adders, multipliers, inverter, parallel Gauss-Jordan eliminator, polynomial evaluation, matrix vector multiplication, vector addition, polynomial evaluation, and processor components in a finite field, where only the first four components are computing components and the others are logical components.

Fecundity in the transition (Atree1 …  n ) and migration (M) submatrices was calculated as: 12 where F is the fecundity of the corresponding spatially averaged matrix (A), and m is a multiplication vector (containing 0·5, 1 and 2), pSO→TA was calculated applying eqns (8)–(11), where X was increased or decreased relative to the original value (i.e. multiplied with m).

Similar(57)

This update involves inversion of the small q × q matrix U t U − U t V ; all other operations reduce to matrix times vector multiplications.

This paper describes memory-pinning strategies pertinent to sparse matrix-vector multiplication and vector orthogonalization phases of an ab initio nuclear structure computation performed by the MFDn package.

Finally, the complexity at the BS is reduced as there is no need for pre-coding multiplication and vector computation in the user selection procedure.

After acquiring a set of normalized eigenvectors, we transform the eigenvector components to loading factors by taking the multiplication of vector components and the square root of corresponding eigenvalue.

The associative, commutative, and distributive laws of elementary algebra are valid for the dot multiplication of vectors.

The multiplication of vectors leads to two types of products, the dot product and the cross product.

Here, ∘ denotes the componentwise multiplication between vectors.

Each iteration involves matrix-vector multiplications and vector additions with matrices and two-element vectors.

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