Advances in Mathematical Modelling, Applied Analysis and Computation

Proceedings of ICMMAAC 2022
1. Auflage 2023
ISBN: 978-3-031-29958-2
Verlag: Springer Nature Switzerland

Buch, Englisch, Band 666, 580 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 879 g

Reihe: Lecture Notes in Networks and Systems

The book is very useful for researchers, graduate students and educators associated with or interested in recent advances in different aspects of modelling, computational methods and techniques necessary for solving problems arising in the real-world problems. The book includes carefully peer-reviewed research articles presented in the “5th International Conference on Mathematical Modelling, Applied Analysis and Computation”, held at JECRC University, Jaipur, during 4–6 August 2022 concentrating on current advances in mathematical modelling and computation via tools and techniques from mathematics and allied areas. It is focused on papers dealing with necessary theory and methods in a balanced manner and contributes towards solving problems arising in engineering, control systems, networking system, environment science, health science, physical and biological systems, social issues of current interest, etc.

Zielgruppe

Research

Autoren/Hrsg.

Singh, Jagdev

Kumar, Devendra

Anastassiou, George A.

Baleanu, Dumitru

Fachgebiete

• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Mathematik | Informatik EDV | Informatik Informatik Berechenbarkeitstheorie, Komplexitätstheorie
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen

Inhaltsverzeichnis

Multivariate Fuzzy-Random and stochastic arctangent, algebraic, Gudermannian and generalized symmetric activation functions induced Neural Network Approximations.- From Koeller's idea to modern fractional calculus: Fractional polynomial operators.- On weighted fractional operators with applications to mathematical models arising in physics.- Numerical solution of eighth order boundary value problems by using Vieta-Lucas polynomials.- The Mexican hat wavelet transform on generalized quotients and its applications.