Global Information Lookup Global Information

Complete orthogonal decomposition information


In linear algebra, the complete orthogonal decomposition is a matrix decomposition.[1][2] It is similar to the singular value decomposition, but typically somewhat[3] cheaper to compute and in particular much cheaper and easier to update when the original matrix is slightly altered.[1]

Specifically, the complete orthogonal decomposition factorizes an arbitrary complex matrix into a product of three matrices, , where and are unitary matrices and is a triangular matrix. For a matrix of rank , the triangular matrix can be chosen such that only its top-left block is nonzero, making the decomposition rank-revealing.

For a matrix of size , assuming , the complete orthogonal decomposition requires floating point operations and auxiliary memory to compute, similar to other rank-revealing decompositions.[1] Crucially however, if a row/column is added or removed or the matrix is perturbed by a rank-one matrix, its decomposition can be updated in operations.[1]

Because of its form, , the decomposition is also known as UTV decomposition.[4] Depending on whether a left-triangular or right-triangular matrix is used in place of , it is also referred to as ULV decomposition[3] or URV decomposition,[5] respectively.

  1. ^ a b c d Golub, Gene; van Loon, Charles F. (15 October 1996). Matrix Computations (Third ed.). Johns Hopkins University Press. ISBN 0-8018-5414-8.
  2. ^ Björck, Åke (December 1996). Numerical methods for least squares problems. SIAM. ISBN 0-89871-360-9.
  3. ^ a b Chandrasekaran, S.; Gu, M.; Pals, T. (January 2006). "A Fast ULV Decomposition Solver for Hierarchically Semiseparable Representations". SIAM Journal on Matrix Analysis and Applications. 28 (3): 603–622. doi:10.1137/S0895479803436652.
  4. ^ Fierro, Ricardo D.; Hansen, Per Christian; Hansen, Peter Søren Kirk (1999). "UTV Tools: Matlab templates for rank-revealing UTV decompositions" (PDF). Numerical Algorithms. 20 (2/3): 165–194. doi:10.1023/A:1019112103049. S2CID 19861950.
  5. ^ Adams, G.; Griffin, M.F.; Stewart, G.W. (1991). "Direction-of-arrival estimation using the rank-revealing URV decomposition". [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing. Proc. Of IEEE Internat. Conf. On Acoustics, Speech, and Signal Processing. pp. 1385-1388 vol.2. doi:10.1109/icassp.1991.150681. hdl:1903/555. ISBN 0-7803-0003-3. S2CID 9201732.

and 24 Related for: Complete orthogonal decomposition information

Request time (Page generated in 0.8393 seconds.)

Complete orthogonal decomposition

Last Update:

linear algebra, the complete orthogonal decomposition is a matrix decomposition. It is similar to the singular value decomposition, but typically somewhat...

Word Count : 774

Matrix decomposition

Last Update:

A\mathbf {x} =\mathbf {b} } , the matrix A can be decomposed via the LU decomposition. The LU decomposition factorizes a matrix into a lower triangular matrix...

Word Count : 3580

Singular value decomposition

Last Update:

m\times n} matrix. It is related to the polar decomposition. Specifically, the singular value decomposition of an m × n {\displaystyle m\times n} complex...

Word Count : 13747

Schur decomposition

Last Update:

discipline of linear algebra, the Schur decomposition or Schur triangulation, named after Issai Schur, is a matrix decomposition. It allows one to write an arbitrary...

Word Count : 1360

Cholesky decomposition

Last Update:

linear algebra, the Cholesky decomposition or Cholesky factorization (pronounced /ʃəˈlɛski/ shə-LES-kee) is a decomposition of a Hermitian, positive-definite...

Word Count : 7645

Hilbert space

Last Update:

states that H splits into an orthogonal direct sum of the eigenspaces of an operator, and also gives an explicit decomposition of the operator as a sum of...

Word Count : 17476

Spectral theorem

Last Update:

spaces. The spectral theorem also provides a canonical decomposition, called the spectral decomposition, of the underlying vector space on which the operator...

Word Count : 3630

Orthogonal group

Last Update:

In mathematics, the orthogonal group in dimension n, denoted O(n), is the group of distance-preserving transformations of a Euclidean space of dimension...

Word Count : 7820

Semiorthogonal decomposition

Last Update:

nontrivial orthogonal decomposition, whereas it may have a semiorthogonal decomposition, by the examples below. A semiorthogonal decomposition of a triangulated...

Word Count : 2399

Multidimensional empirical mode decomposition

Last Update:

Empirical Mode Decomposition have been used to analyze characterization of multidimensional signals. The empirical mode decomposition (EMD) method can...

Word Count : 7055

QR algorithm

Last Update:

with a finite sequence of orthogonal similarity transforms, somewhat like a two-sided QR decomposition. (For QR decomposition, the Householder reflectors...

Word Count : 2461

Principal component analysis

Last Update:

multivariate quality control, proper orthogonal decomposition (POD) in mechanical engineering, singular value decomposition (SVD) of X (invented in the last...

Word Count : 14281

Helmholtz decomposition

Last Update:

field or rotation field. This decomposition does not exist for all vector fields and is not unique. The Helmholtz decomposition in three dimensions was first...

Word Count : 7137

Davenport chained rotations

Last Update:

Davenport general rotation decomposition. The angles of rotation are called Davenport angles because the general problem of decomposing a rotation in a sequence...

Word Count : 2721

List of polynomial topics

Last Update:

Regular chain Triangular decomposition Sturm's theorem Descartes' rule of signs Carlitz–Wan conjecture Polynomial decomposition, factorization under functional...

Word Count : 441

Spinor

Last Update:

or may not decompose into irreducible representations.) The space of spinors may also be defined as a spin representation of the orthogonal Lie algebra...

Word Count : 9919

Latin hypercube sampling

Last Update:

(1992). "Orthogonal arrays for computer experiments, integration and visualization". Statistica Sinica. 2: 439–452. Ye, K.Q. (1998). "Orthogonal column...

Word Count : 634

Hodge theory

Last Update:

that the Hodge decomposition is a decomposition of cohomology with complex coefficients that usually does not come from a decomposition of cohomology with...

Word Count : 4290

Maximal compact subgroup

Last Update:

homotopy equivalences. For the general linear group, this decomposition is the QR decomposition, and the deformation retraction is the Gram-Schmidt process...

Word Count : 1762

Character theory

Last Update:

columns of the character table are orthogonal. The orthogonality relations can aid many computations including: Decomposing an unknown character as a linear...

Word Count : 3518

Efficient Java Matrix Library

Last Update:

= DecompositionFactory_DDRM.svd(true, true, true); if (!DecompositionFactory.decomposeSafe(svd, matA)) throw new DetectedException("Decomposition failed...

Word Count : 387

UML state machine

Last Update:

complementary AND-decomposition. Such decomposition means that a composite state can contain two or more orthogonal regions (orthogonal means compatible...

Word Count : 5986

Semisimple representation

Last Update:

complementary representation). The decomposition of a semisimple representation into simple ones, called a semisimple decomposition, need not be unique; for example...

Word Count : 3849

Mutually orthogonal Latin squares

Last Update:

mathematics, two Latin squares of the same size (order) are said to be orthogonal if when superimposed the ordered paired entries in the positions are all...

Word Count : 4818

PDF Search Engine © AllGlobal.net