University of World Economy and Diplomacy, Tashkent, Uzbekistan. There are various approximate analytical methods for solving differential equations. For example, in the works [1] [2] new approaches ...

Abstract: Convolutional neural networks (CNNs), despite their broad applications, are constrained by high computational and memory requirements. Existing compression techniques often neglect ...

Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. As soon as an appropriate mathematical model is developed, it can ...

Abstract: In this paper, we consider the single machine scheduling problem with a fixed non-availability interval. The objective is to minimize the makespan. Our work aims at the comparison of Jackson ...

1 Department of Mathematics, University of Ilorin, Ilorin, Nigeria. 2 Department of Mathematics and Computer Science, Delta State University, Abraka, Nigeria. The subject of Ordinary Differential ...

This is the official implementation of physics-informed neural networks (PINNs) for functional differential equations (Functional PINN) proposed in ...

An illustration of a magnifying glass. An illustration of a magnifying glass.