Approximation And Regularisation Methods For Operator-functional Equations: 95 (Series on Advances in Mathematics for Applied Sciences)

Sidorov, Nikolay (Author)/ Sidorov, Denis (Author)/ Rojas, Edixon M (Author)/ Sinitsyn, Alexander V (Author)

ISBN 10: 9819801680 / ISBN 13: 9789819801688

Published by World Scientific Publishing Co Pte Ltd, 2025

About this Item

248 pages. 3.94x3.94x2.36 inches. In Stock.

Seller Inventory # x-9819801680

Bibliographic Details

• Title: Approximation And Regularisation Methods For Operator-functional Equations: 95 (Series on Advances in Mathematics for Applied Sciences)
• Publisher: World Scientific Publishing Co Pte Ltd
• Publication Date: 2025
• Language: English
• ISBN 10: 9819801680
• ISBN 13: 9789819801688
• Binding: Hardcover
• Condition: Brand New
• Weight: 0.5 kilograms

About this title

Synopsis

This book presents an overview of the most recent research and findings in the field of approximation and regularisation methods for operator-functional equations, and explores their applications in electrical and power engineering. It presents the state of the art in building operator theory, regularised numerical methods, and the verification of mathematical models for dynamical models based on integral and differential equations. Special attention is paid to Volterra models, a powerful tool for modelling hereditary dynamics.

This book begins by exploring the solvability of singular integral equations and moves on to study approximation methods for linear operator equations and nonlinear integral equations. Following this, it examines loaded equations and bifurcation analysis, before concluding with an investigation of the applications of the contents of the book in electrical engineering and automation. Each chapter provides an overview and analysis of the relevant problem statements, outlines current methods within the field, and identifies future directions for research.

With an interdisciplinary approach, this book is essential reading for anyone interested in operator-functional equations. Graduate students and professors in the fields of applied mathematics, physics, materials science, and numerical analysis will find this work insightful and valuable, as will industry professionals in related fields.