In mathematics, particularly in linear algebra, "V^T" refers to the transpose of a matrix or vector denoted as V. The transpose operation involves flipping a matrix over its diagonal, turning its rows into columns and vice versa. For example, if V is a 2x3 matrix, then V^T will be a 3x2 matrix. The transpose is useful in various applications, including solving systems of equations and in machine learning algorithms. It helps in simplifying calculations and understanding the properties of matrices, such as symmetry and orthogonality.