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Proper value problem (translated from German)
Proper value problem The terms Eigenvalue and Self-vector step always together in ... algebra up. In the following described mathematical problem definition calls itself special proper value problem. Self-vectors one linear operator (approximately by one Matrix ) vectors are represented, on which application ...
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Eigenvalue, eigenvector and eigenspace
Eigenvalue, eigenvector and eigenspace Fig. 1. In this ... vector was neither stretched nor compressed, its eigenvalue is 1. All vectors along the same ... line are also eigenvectors, with the same eigenvalue. They form the eigenspace for this eigenvalue. In mathematics, an (help· info ) of a ... a set of eigenvectors with the same eigenvalue. These concepts play a major role ...
http://en.wikipedia.org/wiki/Eigenvalue,_eigenvector_and_eigenspace - 63k - Cached - Similar pages
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Eigenvalue algorithm
Eigenvalue algorithm In linear algebra, one of the ... algorithms for finding the eigenvalues of a matrix. These eigenvalue algorithms may also find eigenvectors. Characteristic polynomial Given a matrix A, an eigenvalue λ and its associated eigenvector v ...
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Talk:Eigenvalue, eigenvector and eigenspace
Talk:Eigenvalue, eigenvector and eigenspace Talk page needs to ... extension of eigenvalues. Power method For the matrix having 2 on the diagonal and 0 ... converge to any eigenvector, since applying the matrix is the same as multiplying by two ... inertia equation in such a case. A matrix which describes an approximation of a conjugated ... the associated molecular orbital represented by the eigenvalue. In heat transfer the eigenvectors of ...
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Orthogonal matrix
Orthogonal matrix In matrix theory, a real orthogonal matrix is a square matrix Q whose transpose is its inverse: |
Divide-and-conquer eigenvalue algorithm
Divide-and-conquer eigenvalue algorithm Divide-and-conquer eigenvalue algorithms are a class of eigenvalue algorithms for Hermitian or real symmetric matrices ... and-conquer approach from computer science. An eigenvalue problem is divided into two problems of ...
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Hessenberg matrix
Hessenberg matrix In linear algebra, a Hessenberg matrix is one that is "almost" triangular. To be exact, an upper Hessenberg matrix has zero entries below the first subdiagonal, and a lower Hessenberg matrix has zero entries above the first superdiagonal ... When the constraints of a linear algebra problem don't allow a general matrix ...
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User:Mathbot/Changes mathlist
... recent changes Mar 3 Removed Two Envelopes problem Added 1 0 0 0 0 Added ... point of a curve Added Two envelopes problem Added X-Y-Z matrix Mar 2 Added Age Standardized Mortality Rates ... ring Added Safe sex makespan Added Schottky problem Added Statacorp Added Universal Transverse Mercator coordinate ... s theorem Added Proof that Boolean satisfiability problem is NP-complete Added Seemingly unrelated ...
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User:Salix alba/maths/maths redirect frequency
... Programming -> Computer programming - 246 Cipher -> Encryption - 208 Eigenvalue -> Eigenvalue, eigenvector and eigenspace - 188 Countable -> Countable_set - 132 ... product space - 87 Homeomorphic -> Homeomorphism - 87 Eigenvector -> Eigenvalue, eigenvector and eigenspace - 84 Infinite series -> Series ... Arcminute -> Minute of arc - 42 Traveling salesman problem -> Travelling salesman problem - 41 Coordinate axis -> Cartesian coordinate system - ...
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User:Mathbot/Logged misspellings (old2)
... ideal theorem 99 satisifiability satisfiability Boolean satisfiability problem 100 hthis this Borel subgroup 101 reparameterize ... oriented CHSH inequality 111 postulaing postulating CKM matrix 112 Japanse Japanese CKM matrix 113 continous continuous Cadlag 114 french French ... Covariance and contravariance 253 conlicting conflicting Covariance matrix 254 identifyimg identifying Covariant transformation 255 charateristics ... determinstic deterministic Determinism 303 Straighforward Straightforward Diagonalizable matrix 304 soley solely Dicyclic group 305 ...
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