「Matrices」の共起表現(1語右で並び替え)

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「Matrices」の共起表現一覧(1語右で並び替え)

Matrices

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r available data types are sparse, compressed matrices, a long accumulator for an exact scalar produ
or undirected graphs G1 and G2 with adjacency matrices A1 and A2 are given.
All matrices and vectors are available in all classical nu
representation theory, relations with random matrices and integrable systems, and the difference eq
applied a different equalization for the new matrices and this resulted in far better pressings and
in particular nonnegative rank of nonnegative matrices and communication complexity.
ncDesigner uses NumPy arrays and SciPy sparse matrices, and thus depends on the NumPy and SciPy modu
ducts have dictated the need for new types of matrices and testing systems.
erge such as complex numbers, p-adic numbers, matrices, and various Banach algebras.
ndry was the first manufacturer of typefaces, matrices and other type-related equipment in Cincinnat
free probability, in particular, using random matrices and a new concept of entropy to solve several
MTL supports several implementations of dense matrices and sparse matrices.
most famous for introducing alternating sign matrices and his work on generalized Heron's formula.
nalysis of variance certain positive-definite matrices appear.
lacing zeros above and below each pivot; such matrices are said to be in reduced row echelon form.
y, because the elements of its transformation matrices are derived from the calculation of sines and
e pixel is classified correctly and the error matrices are more accurate.
Thermoplastic matrices are commonplace in mass production industries
The PAM matrices are normalized so that, for instance, the PAM
Custom Switch Matrices are used extensively throughout test systems
Similarity matrices are used in sequence alignment.
allest upper bounds for any large rectangular matrices are for those of Gaussian matrices.
Nucleotide similarity matrices are used to align nucleic acid sequences.
The element matrices are read from files or created as needed and
It assumes matrices are laid out in a two-dimensional block cycli
Noting that signature matrices are both symmetric and involutary, they are t
e (G) and Thymine (T)), nucleotide similarity matrices are much simpler than protein similarity matr
The matrices are based on the minimum percentage identity
Any network can be described by set of matrices based on the network topology.
ng language supporting among other datatypes, matrices, boleans, intervals, sets and fractions.
parse matrix given as the assembly of element matrices by assembling the matrix and eliminating equa
ually inverse (finite or infinite) triangular matrices can be formed by arranging the Stirling numbe
A more sophisticated description using matrices can be achieved by separating the observed ob
Circulant matrices can be interpreted geometrically, which expla
Volatile substances in liquid or solid matrices can be made available by the purge and trap t
alculating the eigenvalues of nine classes of matrices: complex general, complex Hermitian, real gen
used on the use of three dimensional collagen matrices containing fibroblasts to learn about the mec
Matrices containing zeros below each pivot are said to
R's data structures include scalars, vectors, matrices, data frames (similar to tables in a relation
Other analytes are often in complex matrices, e.g., heavy metals in pond water.
Conference matrices first arose in connection with a problem in t
wn that, for nontrivial irreducible incidence matrices, flow equivalence is completely determined by
ound and was detected only in low-temperature matrices for a long time.
Matrices for lower similarity sequences require longer
and various new dye-doped solid-state organic matrices have been discovered.
such networks were represented by conference matrices, hence the name.
ordan elimination is an algorithm for getting matrices in reduced row echelon form using elementary
ditional support for biclustering rectangular matrices in the form of other datatypes, including cMo
uantity of interest in the study of incidence matrices in graph theory, and of certain one-dimension
a frames, contingency tables, random numbers, matrices in a user friendly virtual worksheet.
aximal in Co0, N is the group of all integral matrices in Co0.
The number of distinct m-by-n binary matrices is equal to 2mn, and is thus finite.
which satisfies this property for all n by n matrices is called a Grothendieck constant and denoted
but for infinite matrices, is named after him.
erative search with position-specific scoring matrices is also available.
al, complex and interval numbers, vectors and matrices, it can produce 2D/3D plots, and uses Maxima
es in the world and complete sets of dies and matrices, it also has an extensive library, a richly d
However the individual cobble matrices match sediments found in the upper Pysht and
ed isospectral or cospectral if the adjacency matrices of the graphs have equal multisets of eigenva
compute many eigenvalues and eigenvectors for matrices of rather large size [13,14,16].
rix and Mr and My are the variance-covariance matrices of the residuals and observations, respective
e electrical response of thermoset resins and matrices of composite materials at specified depth ove
m is one of the matrices of G
(1958) "Cultural Matrices of Chinookan Non-Casual Language."
ndles real, complex, and interval values, and matrices of these types.
(found by considering the determinants of the matrices on the left and right sides of the matrix for
group theory, for example to finite groups of matrices over the complex numbers in small dimension.
trivial example is the set Matn(B) of square matrices over a boolean algebra B, where the matrices
ing point arithmetic, finite fields, vectors, matrices, polynomials, lattice basis reduction and bas
terized a biophysical effect in extracellular matrices populated with cells or nonliving particles,
rs and spectral perturbation theory, Toeplitz matrices, random matrices, and damped wave operators.
The four matrices reflect the probabilities of the central, nin
Geometrically, signature matrices represent a reflection in each of the axes co
Shpolskii matrices result from fortuitous compatibility between
y, some linear algebra of two dimensions with matrices, some combinatorics, and a little statistics.
has been successfully used with thermoplastic matrices such as polybutylene terephthalate (PBT) eith
tion/ionization methods using other inorganic matrices, such as nanomaterials, are often regarded as
y differential equations using characteristic matrices Szalai R, Stepan G and Hogan SJ
Philips in the 1970s and are two-dimensional matrices that have the sequences of the proteins being
ce, this method works in the space of density matrices that can be spanned by an over-complete basis
1; MIM 131390), are thin pericellular protein matrices that control a large number of cellular activ
lection, the evolution of variance-covariance matrices, the detection of evolutionary constraints, a
ty that, when it is the product of two square matrices, the matrices can be said to be the inverse o
Thus, if f and t are real matrices, their normalized cross-correlation equals th
mith-Winograd algorithm for multiplying these matrices, this gives an asymptotic worst-case running
Baxter used calculations with corner transfer matrices to guess the correct solution of the hard hex
Later, she started to use matrices to analyze vibrations of airplanes during Wor
okande severely restricts the neutrino mixing matrices to the form
mpletely positive map from the set of density matrices to itself.
the list, the expansion of the size limit of matrices to 50x50, and the (unintentional) addition of
Apart from the representation of triangular matrices, triangular arrays are used in several algori
Method of Molding Structural Matrices, U.S. Patent #3,229,004, 1966.
ng capabilities, creation and manipulation of matrices up to 6x6 in size, and programming in Texas I
AM) or Percent Accepted Mutation, is a set of matrices used to score sequence alignments.
, and the production of natural and synthetic matrices used as delivery systems for cells or cell pr
analyse data (e.g., chemical and biological) matrices using regression and/or pattern recognition t
standard eigenvalue problems with real sparse matrices using iterative solvers.
the results of Kummer diagonalising symmetric matrices, using determinants and Sturm functions.
tangent linear, adjoint and K (full Jacobian matrices) versions of the model; the latter three modu
okande severely restricts the neutrino mixing matrices was first presented by D. V. Ahluwalia in a N
Then, the individual normal equation matrices were combined and the resultant matrix solved
The PAM matrices were introduced by Margaret Dayhoff in 1978 b
The matrices were created by merging (clustering) all sequ
s that if M, H and P are all n by n Hermitian matrices, where M has eigenvalues
he restricted isometry property characterizes matrices which are nearly orthonormal, at least when o
formulation produced very large, very sparse matrices which required special techniques to solve ef
r,Formulas for Stress, Strain, and Structural Matrices, Wiley, 2nd edition (November 11, 2004), ISBN
There are no known large matrices with bounded restricted isometry constants, b
"The biplot graphic display of matrices with application to principal component analy
Saccharomyces yeasts can form symbiotic matrices with bacteria, and are used to produce kombuc
omputation of eigenvalues and eigenvectors of matrices, written in FORTRAN.