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  2. Gram matrix - Wikipedia

    en.wikipedia.org/wiki/Gram_matrix

    The Gram matrix is symmetric in the case the inner product is real-valued; it is Hermitian in the general, complex case by definition of an inner product. The Gram matrix is positive semidefinite, and every positive semidefinite matrix is the Gramian matrix for some set of vectors. The fact that the Gramian matrix is positive-semidefinite can ...

  3. Unimodular lattice - Wikipedia

    en.wikipedia.org/wiki/Unimodular_lattice

    The determinant of a lattice is the determinant of the Gram matrix, a matrix with entries (a i, a j), where the elements a i form a basis for the lattice. An integral lattice is unimodular if its determinant is 1 or −1. A unimodular lattice is even or type II if all norms are even, otherwise odd or type I.

  4. Examples of Markov chains - Wikipedia

    en.wikipedia.org/wiki/Examples_of_Markov_chains

    The matrix P represents the weather model in which a sunny day is 90% likely to be followed by another sunny day, and a rainy day is 50% likely to be followed by another rainy day. [4] The columns can be labelled "sunny" and "rainy", and the rows can be labelled in the same order. The above matrix as a graph.

  5. Low-rank matrix approximations - Wikipedia

    en.wikipedia.org/wiki/Low-rank_matrix_approximations

    Low-rank matrix approximations are essential tools in the application of kernel methods to large-scale learning problems. [ 1 ] Kernel methods (for instance, support vector machines or Gaussian processes [ 2 ] ) project data points into a high-dimensional or infinite-dimensional feature space and find the optimal splitting hyperplane.

  6. Self-Made Millionaire: How Graham Stephan Did It by Age 26 ...

    www.aol.com/finance/self-made-millionaire-graham...

    Numerous videos on becoming a millionaire are vague and filled with empty motivational quotes. You feel more confused after consuming the content because you're unsure what steps to take next....

  7. QR decomposition - Wikipedia

    en.wikipedia.org/wiki/QR_decomposition

    The RQ decomposition transforms a matrix A into the product of an upper triangular matrix R (also known as right-triangular) and an orthogonal matrix Q. The only difference from QR decomposition is the order of these matrices. QR decomposition is Gram–Schmidt orthogonalization of columns of A, started from the first column.

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  9. FACT CHECK: Contrary To Claim, Matt Gaetz Did Not Make ... - AOL

    www.aol.com/fact-check-contrary-claim-matt...

    A viral post shared on X claims Florida Republican Rep. Matt Gaetz purportedly made a tweet about “age gap dating.” View on Threads Verdict: False The claim is false. The purported tweet was ...