In this paper, we obtain a formula for the derivative of a determinant with respect to an eigenvalue in the modified Cholesky decomposition of a symmetric matrix, a characteristic example of a direct ...

Computing the determinant of a matrix is a classical mathematical problem with practical applications in scientific computing, numerical analysis, and data processing pipelines. In this project, the ...

This code finds the determinant of square matrices by reducing the size of the matrix from NxN to (N-1)x(N-1), until the final matrix is 2x2. (Using recursion is inefficient and slow for actually ...

Abstract: With the widespread deployment of secure outsourcing computation, the resource-constrained client can delegate intensive computation tasks to powerful servers. Matrix determinant computation ...

Abstract: Fully homomorphic encryption enables to perform arbitrary computation over encrypted data, providing a powerful tool for secure outsourced computation on an untrusted environment. This paper ...