Noun:

ମ୍ୟାଟ୍ରିକ୍ସ କ୍ରାସ୍ |,

matrix inversion's Usage Examples:

Because the standard inference requires matrix inversion of a square matrix of the size of the number of samples ( n {\displaystyle.

Alternatively the coefficients, C, could be calculated in a spreadsheet, employing a built-in matrix inversion routine to obtain the inverse of the normal equations matrix.

Sample matrix inversion (or direct matrix inversion) is an algorithm that estimates weights of an array (adaptive filter) by replacing the correlation.

Since the updates of the BFGS curvature matrix do not require matrix inversion, its computational complexity is only O ( n 2 ) {\displaystyle {\mathcal.

Alternative names for this formula are the matrix inversion lemma, Sherman–Morrison–Woodbury formula or just Woodbury formula.

matrix inversion) and for solving systems of linear and non-linear equations.

Hence, coefficients can also be found by solving a linear system, for instance by matrix inversion.

Vazirani and Vijay Vazirani that showed that "Matching is as easy as matrix inversion", in a paper that introduced the isolation lemma.

Being a fully explicit computation, FDTD avoids the difficulties with matrix inversions that limit the size of frequency-domain integral-equation and finite-element electromagnetics models to generally fewer than 109 electromagnetic field unknowns.

various value-to-value functions, such as addition, concatenation, matrix inversion, and so on.

asymptotic complexity as matrix multiplication include determinant, matrix inversion, Gaussian elimination (see next section).

Since the updates of the BFGS curvature matrix do not require matrix inversion, its computational complexity is only \mathcal{O}(n^{2}), compared to \mathcal{O}(n^{3}) in Newton's method.

Synonyms:

matrix operation,

Antonyms:

arrange, behave,