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  2. Eigendecomposition of a matrix - Wikipedia

    en.wikipedia.org/wiki/Eigendecomposition_of_a_matrix

    Let A be a square n × n matrix with n linearly independent eigenvectors q i (where i = 1, ..., n).Then A can be factored as = where Q is the square n × n matrix whose i th column is the eigenvector q i of A, and Λ is the diagonal matrix whose diagonal elements are the corresponding eigenvalues, Λ ii = λ i.

  3. Canine degenerative myelopathy - Wikipedia

    en.wikipedia.org/wiki/Canine_degenerative_myelopathy

    A dog with degenerative myelopathy often stands with its legs close together and may not correct an unusual foot position due to a lack of conscious proprioception. Canine degenerative myelopathy, also known as chronic degenerative radiculomyelopathy, is an incurable, progressive disease of the canine spinal cord that is similar in many ways to amyotrophic lateral sclerosis (ALS).

  4. Prognostic chart - Wikipedia

    en.wikipedia.org/wiki/Prognostic_chart

    This time stepping is repeated until the solution reaches the desired forecast time. [13] Time steps for global models are on the order of tens of minutes, [14] while time steps for regional models are between one and four minutes. [15] The global models are run outwards to varying times into the future.

  5. Lanczos algorithm - Wikipedia

    en.wikipedia.org/wiki/Lanczos_algorithm

    The Lanczos algorithm is most often brought up in the context of finding the eigenvalues and eigenvectors of a matrix, but whereas an ordinary diagonalization of a matrix would make eigenvectors and eigenvalues apparent from inspection, the same is not true for the tridiagonalization performed by the Lanczos algorithm; nontrivial additional steps are needed to compute even a single eigenvalue ...

  6. Eigenvalue algorithm - Wikipedia

    en.wikipedia.org/wiki/Eigenvalue_algorithm

    Given an n × n square matrix A of real or complex numbers, an eigenvalue λ and its associated generalized eigenvector v are a pair obeying the relation [1] =,where v is a nonzero n × 1 column vector, I is the n × n identity matrix, k is a positive integer, and both λ and v are allowed to be complex even when A is real.l When k = 1, the vector is called simply an eigenvector, and the pair ...

  7. 6 tips to reduce alcohol use and cancer risk after surgeon ...

    www.aol.com/6-tips-reduce-alcohol-cancer...

    As cancer has been linked to alcohol use, per the surgeon general's new advisory, addiction experts offer helpful tips to cut back on drinking in a safe, healthy way.

  8. QR algorithm - Wikipedia

    en.wikipedia.org/wiki/QR_algorithm

    In the case when the matrix is depicted as a near-circle, the matrix can be replaced with one whose depiction is a perfect circle. In that case, the matrix is a multiple of the identity matrix, and its eigendecomposition is immediate. Be aware though that the resulting eigenbasis can be quite far from the original eigenbasis.

  9. Dick Van Dyke Details 'Exhausting' Escape from Malibu ... - AOL

    www.aol.com/dick-van-dyke-details-exhausting...

    Dick Van Dyke is reflecting on his lucky escape from the Malibu, Calif., wildfires.. The screen legend, who turns 99 on Friday, Dec. 13., told a local news outlet that his neighbors “saved ...