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  2. Diagonally dominant matrix - Wikipedia

    en.wikipedia.org/wiki/Diagonally_dominant_matrix

    The definition in the first paragraph sums entries across each row. It is therefore sometimes called row diagonal dominance. If one changes the definition to sum down each column, this is called column diagonal dominance. Any strictly diagonally dominant matrix is trivially a weakly chained diagonally dominant matrix.

  3. Weakly chained diagonally dominant matrix - Wikipedia

    en.wikipedia.org/wiki/Weakly_chained_diagonally...

    Weakly diagonally dominant (WDD) is defined with instead. The directed graph associated with an m × m {\displaystyle m\times m} complex matrix A = ( a i j ) {\displaystyle A=(a_{ij})} is given by the vertices { 1 , … , m } {\displaystyle \{1,\ldots ,m\}} and edges defined as follows: there exists an edge from i → j {\displaystyle i ...

  4. Row- and column-major order - Wikipedia

    en.wikipedia.org/wiki/Row-_and_column-major_order

    As a result, many developers will now simply declare that having the column as the first index is the definition of column-major, even though this is clearly not the case with a real column-major language like Fortran. Torch (for Lua) changed from column-major [22] to row-major [23] default order.

  5. Projection matrix - Wikipedia

    en.wikipedia.org/wiki/Projection_matrix

    A matrix, has its column space depicted as the green line. The projection of some vector onto the column space of is the vector . From the figure, it is clear that the closest point from the vector onto the column space of , is , and is one where we can draw a line orthogonal to the column space of .

  6. Leading-order term - Wikipedia

    en.wikipedia.org/wiki/Leading-order_term

    The remaining terms provide the leading-order equation, or leading-order balance, [5] or dominant balance, [6] [7] [8] and creating a new equation just involving these terms is known as taking an equation to leading-order. The solutions to this new equation are called the leading-order solutions [9] [10] to the original equation.

  7. Row equivalence - Wikipedia

    en.wikipedia.org/wiki/Row_equivalence

    Elementary row operations do not affect the row space of a matrix. In particular, any two row equivalent matrices have the same row space. Any matrix can be reduced by elementary row operations to a matrix in reduced row echelon form. Two matrices in reduced row echelon form have the same row space if and only if they are equal.

  8. Anti-diagonal matrix - Wikipedia

    en.wikipedia.org/wiki/Anti-diagonal_matrix

    In mathematics, an anti-diagonal matrix is a square matrix where all the entries are zero except those on the diagonal going from the lower left corner to the upper right corner (↗), known as the anti-diagonal (sometimes Harrison diagonal, secondary diagonal, trailing diagonal, minor diagonal, off diagonal or bad diagonal).

  9. Leslie matrix - Wikipedia

    en.wikipedia.org/wiki/Leslie_matrix

    The Leslie matrix is a discrete, age-structured model of population growth that is very popular in population ecology named after Patrick H. Leslie. [1] [2] The Leslie matrix (also called the Leslie model) is one of the most well-known ways to describe the growth of populations (and their projected age distribution), in which a population is closed to migration, growing in an unlimited ...