In linear algebra, a row vector or row matrix is a 1 × m matrix, i.e. a matrix consisting of a single row of m elements:
The transpose of a row vector is a column vector:
The set of all row vectors forms a vector space which acts like the dual space to the set of all column vectors, in the sense that any linear functional on the space of column vectors (i.e. any element of the dual space) can be represented uniquely as a dot product with a specific row vector.
Read more about Row Vector: Notation, Operations, Preferred Input Vectors For Matrix Transformations
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