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  2. Freepik - Wikipedia

    en.wikipedia.org/wiki/Freepik

    Freepik (stylized as FREEP!K) is an image bank website. Content produced and distributed by the online platform includes photographs, illustrations and vector images.

  3. Pixabay - Wikipedia

    en.wikipedia.org/wiki/Pixabay

    Pixabay.com is a free stock photography and royalty-free stock media website. It is used for sharing photos, illustrations, vector graphics, film footage, music and sound effects, exclusively under the custom Pixabay license, which generally allows the free use of the material with some restrictions. [1] [2] [3]

  4. Euclidean vector - Wikipedia

    en.wikipedia.org/wiki/Euclidean_vector

    A vector pointing from A to B. In mathematics, physics, and engineering, a Euclidean vector or simply a vector (sometimes called a geometric vector or spatial vector) is a geometric object that has magnitude (or length) and direction. Euclidean vectors can be added and scaled to form a vector space.

  5. Alludo - Wikipedia

    en.wikipedia.org/wiki/Alludo

    In August 2003, Corel was bought out by the private equity firm Vector Capital for $1.05 a share (slightly more than the cash in the company). The company was voluntarily delisted from the NASDAQ and Toronto Stock Exchanges. Some U.S. shareholders alleged the management benefited from the buyout personally while the buyout price was too low.

  6. Eigenvalues and eigenvectors - Wikipedia

    en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors

    In essence, an eigenvector v of a linear transformation T is a nonzero vector that, when T is applied to it, does not change direction. Applying T to the eigenvector only scales the eigenvector by the scalar value λ, called an eigenvalue. This condition can be written as the equation.

  7. Vectorization (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Vectorization_(mathematics)

    In mathematics, especially in linear algebra and matrix theory, the vectorization of a matrix is a linear transformation which converts the matrix into a vector. Specifically, the vectorization of a m × n matrix A , denoted vec( A ), is the mn × 1 column vector obtained by stacking the columns of the matrix A on top of one another: