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Find link is a tool written by Edward Betts.searching for Coefficient matrix 54 found (72 total)
alternate case: coefficient matrix
Sylvester's law of inertia
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inertia is a theorem in matrix algebra about certain properties of the coefficient matrix of a real quadratic form that remain invariant under a change of basisStone's method (474 words) [view diff] exact match in snippet view article find links to article
solver. The biggest disadvantage is that it fails to take advantage of coefficient matrix to be a sparse matrix. The LU decomposition of a sparse matrix isChebyshev iteration (344 words) [view diff] exact match in snippet view article find links to article
is that the method requires enough knowledge about spectrum of the coefficient matrix A, that is an upper estimate for the upper eigenvalue and lower estimateMatrix-free methods (465 words) [view diff] exact match in snippet view article find links to article
system of equations or an eigenvalue problem that does not store the coefficient matrix explicitly, but accesses the matrix by evaluating matrix-vector productsUnimodular matrix (1,884 words) [view diff] exact match in snippet view article find links to article
The unoriented incidence matrix of a bipartite graph, which is the coefficient matrix for bipartite matching, is totally unimodular (TU). (The unorientedQuantization (image processing) (1,454 words) [view diff] exact match in snippet view article
bandwidth than a full quantizer matrix. This is an example of DCT coefficient matrix: [ − 415 − 33 − 58 35 58 − 51 − 15 − 12 5 − 34 49 18 27 1 − 5 3 −Nonlinear conjugate gradient method (1,211 words) [view diff] exact match in snippet view article find links to article
gradient as the solution of a linear system of equations, with the coefficient matrix being the exact Hessian matrix (for Newton's method proper) or anABS methods (602 words) [view diff] exact match in snippet view article find links to article
solution of linear Diophantine systems, i.e. equation systems where the coefficient matrix and the right hand side are integer valued and an integer solutionMatrix regularization (2,510 words) [view diff] exact match in snippet view article find links to article
is the dot product of one row of the input with one column of the coefficient matrix. The familiar form of such models is Y = X W + b {\displaystyle Y=XW+b}XOR-SAT (559 words) [view diff] no match in snippet view article find links to article
In computational complexity, XOR-SAT (also known as XORSAT) is the class of boolean satisfiability problems where each clause contains XOR (i.e. exclusiveFast Kalman filter (1,398 words) [view diff] exact match in snippet view article find links to article
matrix inversion from the respective system of Normal Equations. Its coefficient matrix is usually sparse and the exact solution of all the estimated parametersSchur complement (2,910 words) [view diff] exact match in snippet view article find links to article
{\displaystyle v} is zero, we can eliminate the associated rows of the coefficient matrix without any changes to the rest of the output vector. If v {\displaystyleIncomplete LU factorization (872 words) [view diff] exact match in snippet view article find links to article
(1977). "An iterative solution method for linear systems of which the coefficient matrix is a symmetric 𝑀-matrix". Mathematics of Computation. 31 (137): 148–162JPEG (13,561 words) [view diff] exact match in snippet view article find links to article
quantized DCT coefficients. Using this quantization matrix with the DCT coefficient matrix from above results in: B = [ − 26 − 3 − 6 2 2 − 1 0 0 0 − 2 − 4 1K-SVD (1,308 words) [view diff] exact match in snippet view article find links to article
k-SVD algorithm, the D {\displaystyle D} is first fixed and the best coefficient matrix X {\displaystyle X} is found. As finding the truly optimal X {\displaystyleKen-Ichi Inada (277 words) [view diff] case mismatch in snippet view article find links to article
2307/1912796. JSTOR 1912796. Inada, Ken-Ichi (1971). "The Production Coefficient Matrix and the Stolper-Samuelson Condition". Econometrica. 39 (2): 219–239Balanced matrix (868 words) [view diff] exact match in snippet view article find links to article
of balanced matrices. For example, balanced matrices arise as the coefficient matrix in special cases of the set partitioning problem. An alternative methodArray programming (2,610 words) [view diff] no match in snippet view article find links to article
matrices. As in the scalar equivalent, if the (determinant of the) coefficient (matrix) A is not null then it is possible to solve the (vectorial) equationRunge–Kutta methods (7,400 words) [view diff] exact match in snippet view article find links to article
goes up to i − 1. This also shows up in the Butcher tableau: the coefficient matrix a i j {\displaystyle a_{ij}} of an explicit method is lower triangularUpwind differencing scheme for convection (986 words) [view diff] exact match in snippet view article find links to article
positive hence satisfying the requirements for boundedness and also the coefficient matrix is diagonally dominant therefore no irregularities occur in the solutionHenk van der Vorst (694 words) [view diff] case mismatch in snippet view article find links to article
(1977), "An Iterative Solution Method for Linear Systems of Which the Coefficient Matrix is a Symmetric M-Matrix", Math. Comp., 31 (137): 148–162, doi:10.2307/2005786Detailed balance (6,465 words) [view diff] exact match in snippet view article find links to article
_{j}^{\rm {eq}}}{T}};\;\;{\frac {dN_{i}}{dt}}=\sum _{j}L_{ij}X_{j}} The coefficient matrix L i j {\displaystyle L_{ij}} is symmetric: L i j = − V R ∑ r w r eGreen–Kubo relations (1,991 words) [view diff] exact match in snippet view article find links to article
simultaneously, the fluxes and forces will be related by a linear transport coefficient matrix. Except in special cases, this matrix is symmetric as expressed inH.262/MPEG-2 Part 2 (2,598 words) [view diff] exact match in snippet view article find links to article
the original image but is not quite the same. Next, the quantized coefficient matrix is itself compressed. Typically, one corner of the 8×8 array of coefficientsQuadratic form (4,600 words) [view diff] exact match in snippet view article find links to article
(x)=\varphi (Cx).} Let the characteristic of K be different from 2. The coefficient matrix A of q may be replaced by the symmetric matrix (A + AT)/2 with theInput–output model (4,075 words) [view diff] exact match in snippet view article find links to article
matrix B = [ b i j ] {\displaystyle B=[b_{ij}]} is called the capital coefficient matrix. From (2) and (3), we obtain the following expression for y I {\displaystylePower iteration (2,487 words) [view diff] exact match in snippet view article find links to article
matrix, or as the matrix-free method that does not require storing the coefficient matrix A {\displaystyle A} explicitly, but can instead access a functionPreconditioner (3,511 words) [view diff] exact match in snippet view article find links to article
be used as matrix-free methods, i.e. become the only choice if the coefficient matrix A {\displaystyle A} is not stored explicitly, but is accessed by evaluatingBlock matrix (5,122 words) [view diff] exact match in snippet view article find links to article
algorithms for equation systems with a block tridiagonal matrix as coefficient matrix. The Thomas algorithm, used for efficient solution of equation systemsPartial differential equation (6,800 words) [view diff] exact match in snippet view article find links to article
classification depends upon the signature of the eigenvalues of the coefficient matrix ai,j. Elliptic: the eigenvalues are all positive or all negative.Successive over-relaxation (3,185 words) [view diff] exact match in snippet view article find links to article
ω is not necessarily easy, and depends upon the properties of the coefficient matrix. In 1947, Ostrowski proved that if A {\displaystyle A} is symmetricHückel method (7,290 words) [view diff] exact match in snippet view article find links to article
c_{n})} to the above system of linear equations can only exist if the coefficient matrix [ H i j − E S i j ] {\displaystyle [H_{ij}-ES_{ij}]} is singular.Diffusion (8,673 words) [view diff] exact match in snippet view article find links to article
.} Here, D i j {\displaystyle D_{ij}} is the diffusion coefficient matrix, D i ( T ) {\displaystyle D_{i}^{(T)}} is the thermal diffusion coefficientCompressed sensing (5,874 words) [view diff] exact match in snippet view article find links to article
modeled as underdetermined systems of linear equations where the coefficient matrix is the network routing matrix. Moreover, in the Internet, networkDurand–Kerner method (3,080 words) [view diff] exact match in snippet view article find links to article
Choosing a basis, the multiplication operator is represented by its coefficient matrix A, the companion matrix of ƒ(X) for this basis. Since every polynomialList of statistics articles (8,280 words) [view diff] case mismatch in snippet view article find links to article
of infectious disease Mathematical statistics Matthews correlation coefficient Matrix gamma distribution Matrix normal distribution Matrix population modelsAffine arithmetic (2,588 words) [view diff] exact match in snippet view article find links to article
affine forms for those quantities can be represented by a single coefficient matrix A and a vector b, where element A i , j {\displaystyle A_{i,j}} isFisher information (7,376 words) [view diff] exact match in snippet view article find links to article
this case the Fisher information matrix may be identified with the coefficient matrix of the normal equations of least squares estimation theory. AnotherInductance (8,821 words) [view diff] exact match in snippet view article find links to article
)}{\sum _{j=1}^{N}\mathbf {C} _{ij}}}\end{aligned}}} where coupling coefficient matrix and its cofactors are defined as K = [ 1 k 12 ⋯ k 1 N k 12 1 ⋯ k 2Matrix differential equation (2,732 words) [view diff] exact match in snippet view article find links to article
I_{n}} , multiplied by some constant λ, is subtracted from the above coefficient matrix to yield the characteristic polynomial of it, det ( [ 3 − 4 4 − 7Stiff equation (3,802 words) [view diff] exact match in snippet view article find links to article
another). Explicit Runge–Kutta methods have a strictly lower triangular coefficient matrix A {\displaystyle \mathbf {A} } and thus, their stability functionDouglas A. Lawson (1,403 words) [view diff] exact match in snippet view article find links to article
community matrix by producing a symmetrical matrix from the correlation coefficient matrix of the spatial distribution of individual species members. This augmentedMagnus expansion (3,496 words) [view diff] exact match in snippet view article find links to article
involve multiple integrals and nested commutators. Given the n × n coefficient matrix A(t), one wishes to solve the initial-value problem associated withComputable general equilibrium (3,693 words) [view diff] exact match in snippet view article find links to article
day of production are shown in the columns of the following input coefficient matrix: A ( u ) = [ 8 6 1 4 2 1.5 2 1.5 0.5 ] {\displaystyle \mathbf {A}LOBPCG (4,443 words) [view diff] exact match in snippet view article find links to article
analyzed in and. Source: Matrix-free, i.e. does not require storing the coefficient matrix explicitly, but can access the matrix by evaluating matrix-vectorHeat equation (9,878 words) [view diff] exact match in snippet view article find links to article
equal to thermal conductivity k. In the anisotropic case where the coefficient matrix A is not scalar and/or if it depends on x, then an explicit formulaConjugate gradient method (8,421 words) [view diff] exact match in snippet view article find links to article
grid yields a 25 × 25 {\displaystyle 25\times 25} system, and the coefficient matrix A {\displaystyle A} has a five-point stencil pattern. Each row ofMatrix exponential (10,481 words) [view diff] exact match in snippet view article find links to article
Multiply each exponentiated eigenvalue by the corresponding undetermined coefficient matrix Bi. If the eigenvalues have an algebraic multiplicity greater thanLinear belief function (3,955 words) [view diff] exact match in snippet view article find links to article
of Y is b and the conditional variance is 0. Also, the regression coefficient matrix is A. Note that the knowledge to be represented in linear equationsGlossary of calculus (10,926 words) [view diff] exact match in snippet view article find links to article
expresses the solution in terms of the determinants of the (square) coefficient matrix and of matrices obtained from it by replacing one column by the columnVladimir Mazya (7,002 words) [view diff] exact match in snippet view article find links to article
monograph, giving a detailed study of a priori estimates of constant coefficient matrix differential operators defined on ℝn×(0,+∞], with n ≥ 1: translatedDecoherence-free subspaces (4,226 words) [view diff] exact match in snippet view article find links to article
Hilbert space. Under the assumptions that: the noise parameters of the coefficient matrix of the Lindblad decohering term are not fine-tuned (i.e. no specialFacet theory (6,948 words) [view diff] exact match in snippet view article find links to article
similar they are. A common example is the computation of a correlation-coefficient matrix from input data, where the size of a correlation coefficient betweenProgressive-iterative approximation method (8,005 words) [view diff] exact match in snippet view article find links to article
inverse method. In each iteration step, the approximate inverse of the coefficient matrix of the least-squares fitting problem is first computed and then used