Dr. James McCaffrey presents a complete end-to-end demonstration of computing the determinant of a matrix using the C# language. In machine learning scenarios, computing the determinant of a matrix is ...

You can use reduction operators, which return a matrix of reduced dimension, in place of values for subscripts to get reductions across all rows and columns. Table 4.3 lists the eight operators for ...

Available methods to randomize binary matrices with fixed row and column sums are computationally intensive and tend to generate matrix configurations with unequal frequency.

In this paper a new algorithm for reducing an arbitrary real square matrix to tri-diagonal form using real similarity transformations is described. The method is essentially a generalization of a ...