DOWNLOAD ~ Mathematical Modelling, Applied Analysis and Computation * by Jagdev Singh, Devendra Kumar, Hemen Dutta, Dumitru Baleanu & Sunil Dutt Purohit ~ eBook PDF Kindle ePub Free
eBook details
- Title: Mathematical Modelling, Applied Analysis and Computation
- Author : Jagdev Singh, Devendra Kumar, Hemen Dutta, Dumitru Baleanu & Sunil Dutt Purohit
- Release Date : January 31, 2019
- Genre: Mathematics,Books,Science & Nature,Computers & Internet,Computers,
- Pages : * pages
- Size : 32957 KB
Description
This book contains original research papers presented at the International Conference on Mathematical Modelling, Applied Analysis and Computation, held at JECRC University, Jaipur, India, on 6-8 July 2018. Organized into 20 chapters, the book focuses on theoretical and applied aspects of various types of mathematical modelling such as equations of various types, fuzzy mathematical models, automata, Petri nets and bond graphs for systems of dynamic nature and the usage of numerical techniques in handling modern problems of science, engineering and finance. It covers the applications of mathematical modelling in physics, chemistry, biology, mechanical engineering, civil engineering, computer science, social science and finance. A wide variety of dynamical systems like deterministic, stochastic, continuous, discrete or hybrid, with respect to time, are discussed in the book. It provides the mathematical modelling of various problems arising in science and engineering, and also new efficient numerical approaches for solving linear and nonlinear problems and rigorous mathematical theories, which can be used to analyze a different kind of mathematical models.
The conference was aimed at fostering cooperation among students and researchers in areas of applied analysis, engineering and computation with the deliberations to inculcate new research ideas in their relevant fields. This volume will provide a comprehensive introduction to recent theories and applications of mathematical modelling and numerical simulation, which will be a valuable resource for graduate students and researchers of mathematical modelling and industrial mathematics.
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