Mathematics

Diverse Applications of Computational Techniques for Solving Differential Equations
EDITORS: Dr. Geeta Arora
Dr. Firdous A. Shah

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Diverse Applications of Computational Techniques for Solving Differential Equations

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Short Description of the Book:


With the development of the technology, there is a rapid change in the computational science and data analysis. In this era, advanced mathematical techniques are essential to discover and innovate. This forthcoming book, Diverse Applications of Computational Techniques for Solving Differential Equations, will be a collection of the research chapters that will help researchers, practitioners, and students to maximize their potential by navigating the intricate intersections of mathematics, computation, and data analytics.

In the proposed book, each chapter gives theoretical background and examples of sophisticated algorithms and mathematical models that are currently used by the scientist and researchers. Following are the features of the proposed book: The book focuses mathematic data analysis and case studies that demonstrate how mathematical methods can get insights from biology, economics, engineering, and social science data.

Diverse Applications of Computational Techniques for Solving Differential Equations will be a great resource for researchers, practitioners, and students studying computational mathematics. With its comprehensive coverage and practical advice, this book will stimulate computational science and data analytics developments.

Coverage:

  • Numerical Solutions for Evolution Equations in Mathematical Physics
  • Study of Fractional Order Differential Equations
  • Analysis of Nonlinear Differential Equations Involving Fractional Derivatives
  • Investigating Chaotic Dynamics in Modified Fractional Systems
  • Solution of Differential Equation Using Neural Network
  • Solution of Partial Differential Equation Involving Optimization Techniques
  • Application of Finite Element Methods in Solving PDEs
  • Advancements in Data-Driven Modeling and Computational
  • Systematic Exploration of Newtonian and Non-Newtonian Fluid Behaviors Using Mathematical Techniques
  • A Novel Approach for Optimizing the Solution of the Mathematical Model
  • Computational Techniques for Solving Delay Differential Equations
  • Studying Stability of Iterative Methods and Their Applications
  • Machine Learning Techniques for Solving Mathematical Models
  • Advanced Computational Techniques to Solve Linear and Nonlinear Differential Equations



Important Dates:
Abstract Submission (400 - 600 words):
5th June 2024
Notification of Acceptance: 20 June 2024
Full Chapter (8,000 - 10,000 words) Submission Due: On or before 30th July 2024

Submission procedure:
Researchers and practitioners are invited to submit a one-page chapter proposal or abstract on or before June 5th, 2024, clearly mentioning the title of the paper and author(s) details.
Author(s) will be notified about the status of their proposals by June 20th, 2024.
Full chapters (15-30 pages) are expected to be submitted by July 30th, 2024.
All submitted chapters will be peer-reviewed.

Prospective authors are requested to submit their abstract followed by full-length chapters as an email attachment in a Word file to:
geetadma@gmail.com with CC to fashah79@gmail.com

Authors must refer to the following link for detailed guidelines for chapter preparation: http://www.appleacademicpress.com/publishwithus
Note: There is no publication fee for manuscripts submitted to this book publication. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere.


About the Authors / Editors:
EDITORS: Dr. Geeta Arora
Professor, Department of Mathematics, Lovely Professional University, Punjab, India. Email: geetadma@gmail.com, geeta.18820@lpu.co.in


Dr. Firdous A. Shah
Associate Professor, Department of Mathematics, University of Kashmir, South Campus, Anantnag-192101, Jammu and Kashmir, India. E-mail: fashah@uok.edu.in; fashah79@gmail.com





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