matrix |
tridiagonalization |
As nouns the difference between matrix and tridiagonalization
is that
matrix is matrix while
tridiagonalization is (mathematics) the formation of a tridiagonal matrix.
matrix |
lumpability |
As nouns the difference between matrix and lumpability
is that
matrix is matrix while
lumpability is (mathematics) the extent to which a matrix is lumpable.
matrix |
bimatrix |
As nouns the difference between matrix and bimatrix
is that
matrix is matrix while
bimatrix is a matrix with two elements per cell.
matrix |
premultiply |
As a noun matrix
is matrix.
As a verb premultiply is
(mathematics) to multiply a matrix by a preceding factor noncommutatively.
matrix |
sarcoglycan |
As nouns the difference between matrix and sarcoglycan
is that
matrix is matrix while
sarcoglycan is any of a family of transmembrane proteins involved in the protein complex responsible for connecting the muscle fibre cytoskeleton to the extracellular matrix, preventing damage to the muscle fibre sarcolemma through shearing forces.
matrix |
sparsing |
As nouns the difference between matrix and sparsing
is that
matrix is matrix while
sparsing is the act or process of making something sparse.
matrix |
pfaffian |
As nouns the difference between matrix and pfaffian
is that
matrix is matrix while
pfaffian is .
matrix |
patchboard |
As nouns the difference between matrix and patchboard
is that
matrix is the womb while
patchboard is a component of a manual telephone switchboard, or of various early data processing equipment, in which circuits are completed with cords on a matrix of connections.
matrix |
bidiagonal |
As a noun matrix
is matrix.
As an adjective bidiagonal is
(mathematics) describing a matrix that has non-zero entries along the main diagonal and either the diagonal above or the diagonal below.
matrix |
bidiagonalization |
In mathematics terms the difference between matrix and bidiagonalization
is that
matrix is a rectangular arrangement of numbers or terms having various uses such as transforming coordinates in geometry, solving systems of linear equations in linear algebra and representing graphs in graph theory while
bidiagonalization is a particular form of matrix decomposition.
As nouns the difference between matrix and bidiagonalization
is that
matrix is the womb while
bidiagonalization is a particular form of matrix decomposition.
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