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  2. Vector (mathematics and physics) - Wikipedia

    en.wikipedia.org/wiki/Vector_(mathematics_and...

    A vector pointing from A to B. In mathematics, physics, and engineering, a Euclidean vector or simply a vector (sometimes called a geometric vector [1] or spatial vector [2]) is a geometric object that has magnitude (or length) and direction. Euclidean vectors can be added and scaled to form a vector space.

  3. 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 [1] or spatial vector [2]) is a geometric object that has magnitude (or length) and direction. Euclidean vectors can be added and scaled to form a vector space.

  4. Inkscape - Wikipedia

    en.wikipedia.org/wiki/Inkscape

    Inkscape. Inkscape is a free and open-source vector graphics editor for traditional Unix-compatible systems such as GNU / Linux, BSD derivatives and Illumos, as well as Windows and macOS. It offers a rich set of features and is widely used for both artistic and technical illustrations such as cartoons, clip art, logos, typography, diagramming ...

  5. Vector graphics - Wikipedia

    en.wikipedia.org/wiki/Vector_graphics

    Vector graphics are commonly found today in the SVG, WMF, EPS, PDF, CDR or AI types of graphic file formats, and are intrinsically different from the more common raster graphics file formats such as JPEG, PNG, APNG, GIF, WebP, BMP and MPEG4 .

  6. Vector notation - Wikipedia

    en.wikipedia.org/wiki/Vector_notation

    In mathematics and physics, vector notation is a commonly used notation for representing vectors, which may be Euclidean vectors, or more generally, members of a vector space. For representing a vector, the common typographic convention is lower case, upright boldface type, as in v .

  7. Row and column vectors - Wikipedia

    en.wikipedia.org/wiki/Row_and_column_vectors

    The dot product of two column vectors a, b, considered as elements of a coordinate space, is equal to the matrix product of the transpose of a with b, a ⋅ b = a ⊺ b = [ a 1 ⋯ a n ] [ b 1 ⋮ b n ] = a 1 b 1 + ⋯ + a n b n , {\displaystyle \mathbf {a} \cdot \mathbf {b} =\mathbf {a} ^{\intercal }\mathbf {b} ={\begin{bmatrix}a_{1}&\cdots &a ...

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