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Advances in Mathematical Modelling, Applied Analysis and Computation: Lecture Notes in Networks and Systems

Editat de Jagdev Singh, George A. Anastassiou, Dumitru Baleanu, Devendra Kumar
en Limba Engleză Paperback – 10 iun 2025
This book is a collection of research papers from the “7th International Conference on Mathematical Modelling, Applied Analysis and Computation” organized by Lebanese American University, Beirut, Lebanon from April 18–20, 2024.
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Specificații

ISBN-13: 9783031909139
ISBN-10: 3031909135
Pagini: 260
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.4 kg
Editura: Springer
Seria Lecture Notes in Networks and Systems


Textul de pe ultima copertă

This book gathers selected research articles presented in the “6th International Conference on Mathematical Modelling, Applied Analysis and Computation (ICMMAAC)”, held at JECRC University, Jaipur, during August 3–5, 2023. This book is focused on articles dealing with necessary theory and techniques in a balanced manner, and contributes towards solving mathematical problems arising in physics, engineering, chemistry, biological systems, medicine, networking system, control systems, environmental sciences, social issues of current interest and more. Annually held since 2018, the ICMMAAC conference aimed, in particular, to foster cooperation among practitioners and theoreticians in these fields. This proceedings is an invaluable resource for researchers, academicians and professionals associated or interested in current advances in different aspects of mathematical modelling, computational algorithms and analysis necessary for handling real-world problems.


Caracteristici

Is the proceedings of the “6th International Conference on Mathematical Modelling, Applied Analysis and Computation" Presents current advances in mathematical modelling and computation via mathematical tools and techniques Provides with applications and solutions in engineering, control systems, networking system, physical systems, etc

Cuprins

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.