The book describes computational science as a field related to the design, execution and use of arithmetical models to evaluate and solve scientific complications. Generally, the word refers to the application of computers to simulate or numerically analyze scientific systems or processes. This book claims that because of the complexity of mathematics, massive amounts of calculations involved, or both of them, computational science enables people to perform tasks that were difficult to do before. The author claims that although computational models can’t replace the laboratory, they have undoubtedly become a complex part of the entire search for scientific understanding. Computational science also allows researchers to build models for making predictions of what might happen in real life, such as weather pattern predictions.
Author(s): Kunwar Singh Vaisla
Publisher: Arcler Press
Year: 2020
Language: English
Pages: 244
City: Burlington
Cover
Title Page
Copyright
ABOUT THE AUTHOR
TABLE OF CONTENTS
List of Figures
List of Abbreviations
Preface
Chapter 1 Introduction to Computational Science
1.1. Introduction
1.2. Basic Principles
1.3. Reasons To Study The Subject
1.4. Merging Insights With Statistical Tools and Computational Abilities
1.5. Significance of Computational Sciences
1.6. Computational Models
1.7. Computational Science Tools
1.8. Fields of Computational Science
1.9. Computational Methods
Chapter 2 Scientific Visualization
2.1. Introduction
2.2. Scientific Computing
2.3. History of Computers
2.4. Computer Components
2.5. The History of Scientific Visualization
2.6. Visualization Methods For The Two Dimensional Representations
2.7. Applications Areas of Scientific Visualization
2.8. Software Tools Used In Scientific Visualization
2.9. Advantages of Scientific Visualization
2.10. Disadvantages of Scientific Visualization
Chapter 3 Computational Chemistry
3.1. Introduction
3.2. Main Principles To Understand
3.3. Numerical Techniques Used In Computational Chemistry
Chapter 4 Computational Electromagnetics
4.1. Introduction
4.2. Background
4.3. Outline Of The Methods
4.4. Corroboration
4.5. Light Scattering Codes
4.6. Computational Electromagnetic In Plasmonics
4.7. Electromagnetic Field Solvers
4.8. Shooting And Bouncing Rays
Chapter 5 Computational Fluid Dynamics
5.1. Introduction
5.2. Computational Fluid Dynamics As An Interdisciplinary Topic
5.3. History of Computational Fluid Dynamics
5.4. Software Used In Computational Fluid Dynamics
5.5. Simulation
5.6. Numerical Methods Used In Computational Fluid Dynamics
5.7. Hierarchy of Equations Used In CDF
5.8. Applications of CDF
5.9. Advantages of CDF
5.10. Limitations of CDF
Chapter 6 Computational Ocean Modeling
6.1. Introduction
6.2. Computational Modeling Accelerating Discovery
6.3. Examples Of Computational Ocean Modeling And Its Use In The Study Of Complex And Complicated Systems
6.4. Improving Medical Care And Biomedical Research Using Computational Ocean Modeling
6.5. Nibib-Funded Researches Developing In The Area Of Computational Modeling
6.6. Computational Modeler
6.7. How Does Computational Ocean Models Give Their Response To Hurricanes
6.8. Coastal Ocean Modeling Projects
6.9. Getting To Understand What Part Does The Physical Environment Play When It Comes To Marine Organisms In Tropical Ecosystem
6.10. Grid Ocean Modeling That Is Unstructured
6.11. Problems That Computational Ocean Modelers Face
Chapter 7 Computational Structural Mechanics
7.1. Introduction
7.2. Plastic Analysis Method
7.3. Finite Element Method In Structural Mechanics
7.4. Software Used In Computational Structural Mechanics
7.5. Emerging Trends In Computational Structural Mechanics
7.6. Job Opportunities In Computational Structural Mechanics
Chapter 8 Computational Biology
8.1. Introduction
8.2. The Foundation Of Computational Biology
8.3. Applications Of Computational Biology
8.4. Jobs Of A Computational Biologist
Chapter 9 Computational Astrophysics
9.1. Introduction
9.2. Brief History Of Astrophysical Simulations
9.3. The Original Simulation Experiments
9.4. Incentive For A Homogeneous Application Setting
9.5. Computational Astrophysics And Programming Languages
9.6. Computational Vs. Analytic Techniques
9.7. Astrophysical Fluid Dynamics
9.8. Codes For Astrophysics Fluid Dynamics
9.9. Equations Applied In Astrophysical Modeling
Chapter 10 Computational Finance
10.1. Introduction
10.2. A Brief History
10.3. Implementation Of Computational Finance In Various Dimensions
10.4. Recent Progresses
10.5. High-Occurrence Trading
Bibliography
Index
Back Cover
