Computational Science and Technology 1st edition by Rayner Alfred, Yuto Lim, Ag Asri Ag Ibrahim, Patricia Anthony ISBN 9811326223 9789811326226

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Product details:

ISBN 10:      9811326223
ISBN 13: 978- 9811326226
Author:     Rayner Alfred, Yuto Lim, Ag Asri Ag Ibrahim, Patricia Anthony

Computational Science and Technology 1st  Table of contents:

• Chapter 1: Fundamentals of Computational Science

  • Mathematical Models and Algorithms
  • Data Structures and Programming Techniques
  • Computational Complexity and Efficiency

• Chapter 2: Numerical Methods and Simulations

  • Introduction to Numerical Methods
  • Solving Equations and Optimization Problems
  • Simulation Techniques and Software Tools

• Chapter 3: Computational Fluid Dynamics

  • Basics of Fluid Dynamics
  • Discretization and Numerical Solution Methods
  • Applications in Engineering and Environmental Science

• Chapter 4: Computational Materials Science

  • The Role of Computational Models in Materials Science
  • Molecular Dynamics and Quantum Simulations
  • Materials Design and Engineering Applications

• Chapter 5: Artificial Intelligence and Machine Learning in Computational Science

  • Overview of AI and ML in Computational Science
  • Techniques: Supervised and Unsupervised Learning
  • Applications in Modeling, Data Analysis, and Optimization

• Chapter 6: High-Performance Computing (HPC)

  • Introduction to HPC and Parallel Computing
  • Supercomputers and Distributed Systems
  • HPC Applications in Scientific Research and Industry

• Chapter 7: Big Data and Computational Science

  • The Importance of Big Data in Modern Computational Science
  • Data Management, Processing, and Visualization
  • Case Studies of Big Data Applications

• Chapter 8: Computational Biology and Bioinformatics

  • Computational Methods in Biology and Medicine
  • Genomic Data Analysis and Computational Models
  • Drug Discovery and Personalized Medicine

• Chapter 9: Computational Economics and Finance

  • Modeling Economic Systems and Financial Markets
  • Computational Approaches to Risk Assessment and Forecasting
  • Algorithmic Trading and Financial Simulations

• Chapter 10: Computational Science for Environmental Modeling

  • Climate Modeling and Simulation Techniques
  • Environmental Data Analysis and Predictions
  • Applications in Conservation and Sustainability

• Chapter 11: Future Directions in Computational Science

  • Emerging Trends in Computational Technologies
  • Quantum Computing and Next-Generation Algorithms
  • Ethical Issues and the Role of Computational Science in Society

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