This book employs an abstract kernel fractional calculus with applications to Prabhakar and non-singular kernel fractional calculi. The results are univariate a

This book is about the generalization and modernization of approximation by neural network operators. Functions under approximation and the neural networks are

In this book, we introduce the parametrized, deformed and general activation function of neural networks. The parametrized activation function kills much less n

In this short monograph Newton-like and other similar numerical methods with applications to solving multivariate equations are developed, which involve Caputo

The book is devoted to some branches of the theory of approximation of abstract differential equations, namely, approximation of attractors in the case of hyper