AIDN is a deep learning algorithm to represent any finitely-presented algebraic object with a set of deep neural networks. AIDN can compute linear and non-linear representations of most ...

There are three interesting properties of methods for (stiff) ordinary differential equations: order, stability and efficiency of implementation. This paper constructs Runge-Kutta methods of orders 5 ...

Abstract: An efficient numerical algorithm is presented for the solution of transients in systems consisting of dynamic components with both slow and fast eigenvalues, interconnected at their ...

Abstract: The 3D pose estimation problem - aligning pairs of noisy 3D point clouds - is a problem with a wide variety of real-world applications. Here we focus on the use of quaternion-based neural ...

An interval is a pair of numbers which represents all the numbers between them, closed means that the bounds are also included in the representation, extended real because the real number system is ...