The primary goal of this text is to present the theoretical foundation of the field of Fourier analysis. This book is mainly addressed to graduate students in m

This book offers a unified presentation of Fourier theory and corresponding algorithms emerging from new developments in function approximation using Fourier me

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

This text develops comparison theorems to establish the fundamentals of Fourier analysis and to illustrate their applications to partial differential equations.

A carefully prepared account of the basic ideas in Fourier analysis and its applications to the study of partial differential equations. The author succeeds to