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 ...

One of the fundamental operations in machine learning is computing the inverse of a square matrix. But not all matrices have an inverse. The most common way to check if a matrix has an inverse or not ...

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

Introduction Matrix operations play a crucial role in scientific computing, machine learning, and big data analytics. While C++ is known for its performance and object-oriented capabilities, handling ...