"Numerical Simulation: Advanced Techniques for Science and Engineering" ed. by Ali Soofastaei

This book familiarizes readers with the practical application of the numerical simulation technique to solve complex analytical problems in different industries and sciences.

Numerical simulation is a powerful tool used in various fields of science and engineering to model complex systems and predict their behavior. It involves developing mathematical models that describe the behavior of a system and using computer algorithms to solve these models numerically. By doing so, researchers and engineers can study the behavior of a system in detail, which may only be possible with analytical methods. Numerical simulation has many advantages over traditional analytical methods. It allows researchers and engineers to study complex systems’ behavior in detail and predict their behavior in different scenarios. It also allows for the optimization of systems and the identification of design flaws before they are built. However, numerical simulation has its limitations. It requires significant computational resources, and the accuracy of the results depends on the quality of the mathematical models and the discretization methods used. Nevertheless, numerical simulation remains a valuable tool in many fields and its importance is likely to grow as computational resources become more powerful and widely available. Numerical simulation is widely used in physics, engineering, computer science, and mathematics. In physics, for example, numerical simulation is used to study the behavior of complex systems such as weather patterns, fluid dynamics, and particle interactions. In engineering, it is used to design and optimize systems such as aircraft, cars, and buildings. In computer science, numerical simulation models and optimization algorithms and data structures. In mathematics, it is used to study complex mathematical models and to solve complex equations.

Contents
1. Numerical Simulation Introduction
2. Mathematical Basics as a Prerequisite to Artificial Intelligence in Forensic Analysis
3. Computer Vision: Anthropology of Algorithmic Bias in Facial Analysis Tool
4. Numerical Simulations and Validation of Engine Performance Parameters Using Chemical Kinetics
5. Bayesian Methods and Monte Carlo Simulations
6. Numerical Simulation on Sand Accumulation behind Artificial Reefs and Enhancement of Windblown Sand to Hinterland
7. Numerical Simulation of Land and Sea Breeze (LSB) Circulation along the Guinean Coast of West Africa
8. Fluid Dynamics Simulation of an NREL-S Series Wind Turbine Blade
9. Methods of the Perturbation Theory for Fundamental Solutions to the Generalization of the Fractional Laplaciane
10. The Analysis on the Effects of COMT, DRD2, PER3, eNOS, NR3C1 Functional Gene Variants and Methylation Differences on Behavoiral Inclinations in Addicts through the Decision Tree Algorythm
11. Mathematical Modeling of a Porous Medium in Diesel Engines
12. Modeling of Thermal Conductivity in Gas Field Rocks
13. Simulation Study of Microwave Heating of Hematite and Coal Mixture
14. Computational Modeling for Predicting the Optical Distortions through the Hypersonic Flow Fields
15. Moving Node Method for Differential Equations
16. On the Analytical Properties of Prime Numbers


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