Springer Mathematical Modelling and Scientific Computing with Applications 1st edition by Santanu Manna,Biswa Nath Datta,Safique Ahmad ISBN 9811513376 978-9811513376

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Product details: 

ISBN 10: 9811513376

ISBN 13: 978-9811513376

Author:  Santanu Manna,Biswa Nath Datta,Safique Ahmad 

This book contains original research papers presented at the International Conference on Mathematical Modelling and Scientific Computing, held at the Indian Institute of Technology Indore, India, on 19–21 July 2018. Organized into 30 chapters, the book presents the recent progress and the most advanced innovations, trends, and real-world challenges encountered and solutions embraced in the applications of mathematics and scientific computing. The book will be of interests to a wide variety of researchers, students and the practicing engineers working in diverse areas of science and engineering, ranging from applied and computational mathematics, vibration problem, computer science, and numerical optimization to physics, chemistry, biology, electrical, civil, mechanical, chemical, seismology, aerospace, and medical sciences.

The aim of the conference is to bring together leading academicians, scientists, researchers, engineers, and industry partners from all over the globe toexchange and share their experiences and research results on various aspects of applied mathematics and scientific computation, like, differential equation, modeling, simulation, dynamical systems, numerical analysis, matrix theory, inverse problems, and solid and fluid mechanics, computational engineering.

Springer Mathematical Modelling and Scientific Computing with Applications 1st Table of contents: 

• Introduction to Mathematical Modeling

  • Fundamentals of modeling
  • Types of mathematical models
  • Applications of models in science and engineering

• Numerical Methods

  • Numerical solutions to equations
  • Linear algebraic systems
  • Differential equations (ODEs and PDEs)

• Computational Techniques

  • Finite difference methods
  • Finite element methods
  • Computational fluid dynamics (CFD)

• Optimization Methods

  • Linear programming
  • Nonlinear optimization
  • Genetic algorithms

• Data Analysis and Simulation

  • Statistical modeling
  • Monte Carlo simulations
  • Machine learning techniques in scientific computing

• Applications

  • Case studies in physics, engineering, and biology
  • Real-world applications of modeling and simulation

• Software Tools and Programming

  • MATLAB, Python, or similar tools for mathematical modeling
  • Implementing numerical methods in code

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Santanu Manna,Biswa Nath Datta,Safique Ahmad,Springer Mathematical,Scientific Computing