Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...

Abstract: This article considers the problem of solving linear algebraic equations of the form Ax=b among multiagents, which seek a solution by using local information in presence of random ...

Abstract: In order to improve the effect of the Exp-Sign activation function (ESAF) and the Sinh-Sign activation function (SSAF) on the convergence and robustness of the zeroing neural network (ZNN) ...

Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

From Tzuong-Tsieng Moh, a seasoned expert in algebra, comes a new book for students to better understand linear algebra. Writing from an experienced standpoint, Moh covers the many standard aspects ...

With increasing freshwater demand and rising water scarcity, reverse osmosis (RO) has become a key method for seawater ...

Up until now, the simulation hypothesis, which has occasionally received backing from the likes of Elon Musk and Neil ...

Among other things, the course includes elementary linear algebra, the solution of equation systems, the theory of functions of several variables, including both unconstrained and constrained ...