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  2. Row and column spaces - Wikipedia

    en.wikipedia.org/wiki/Row_and_column_spaces

    The dimension of the column space is called the rank of the matrix and is at most min(m, n). [1] A definition for matrices over a ring is also possible. The row space is defined similarly. The row space and the column space of a matrix A are sometimes denoted as C(A T) and C(A) respectively. [2] This article considers matrices of real numbers

  3. Row and column vectors - Wikipedia

    en.wikipedia.org/wiki/Row_and_column_vectors

    The set of all row vectors with n entries in a given field (such as the real numbers) forms an n-dimensional vector space; similarly, the set of all column vectors with m entries forms an m-dimensional vector space. The space of row vectors with n entries can be regarded as the dual space of the space of column vectors with n entries, since any ...

  4. Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Excel

    Microsoft Excel is a spreadsheet editor developed by Microsoft for Windows, macOS, Android, iOS and iPadOS.It features calculation or computation capabilities, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications (VBA).

  5. Delimiter-separated values - Wikipedia

    en.wikipedia.org/wiki/Delimiter-separated_values

    Delimiter collision is a problem that occurs when a character that is intended as part of the data gets interpreted as a delimiter instead. Comma- and space-separated formats often suffer from this problem, since in many contexts those characters are legitimate parts of a data field.

  6. Kernel (linear algebra) - Wikipedia

    en.wikipedia.org/wiki/Kernel_(linear_algebra)

    The left null space of A is the same as the kernel of A T. The left null space of A is the orthogonal complement to the column space of A, and is dual to the cokernel of the associated linear transformation. The kernel, the row space, the column space, and the left null space of A are the four fundamental subspaces associated with the matrix A.

  7. File:Projection of a vector onto the column space of a matrix ...

    en.wikipedia.org/wiki/File:Projection_of_a...

    English: A visual aid to the page Projection Matrix, that shows the column space of some matrix A, some vector b, that is not in the column space, and some other vector, p, that is closest to b spanned by A.

  8. Microsoft Office XML formats - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Office_XML_formats

    Besides differences in the schema, there are several other differences between the earlier Office XML schema formats and Office Open XML. Whereas the data in Office Open XML documents is stored in multiple parts and compressed in a ZIP file conforming to the Open Packaging Conventions, Microsoft Office XML formats are stored as plain single monolithic XML files (making them quite large ...

  9. Linear subspace - Wikipedia

    en.wikipedia.org/wiki/Linear_subspace

    The corresponding columns of the original matrix are a basis for the column space. See the article on column space for an example. This produces a basis for the column space that is a subset of the original column vectors. It works because the columns with pivots are a basis for the column space of the echelon form, and row reduction does not ...