Numerical Simulation - Advanced Techniques for Science and Engineering

Soofastaei, Ali

Numerical Simulation - Advanced Techniques for Science and Engineering

Edited by Ali Soofastaei

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

JEL-codes: C60 (search for similar items in EconPapers)
Date: 2023
ISBN: 978-1-80356-953-6
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Chapters in this book:

Bayesian Methods and Monte Carlo Simulations: Pavel Loskot
Computer Vision: Anthropology of Algorithmic Bias in Facial Analysis Tool: Mayane Batista Lima
Fluid Dynamics Simulation of an NREL-S Series Wind Turbine Blade: Bharat Ramanathan
Introductory Chapter: Numerical Simulation: Ali Soofastaei
Mathematical Basics as a Prerequisite to Artificial Intelligence in Forensic Analysis: Mredula Pyarelal Kp
Mathematical Modeling of a Porous Medium in Diesel Engines: Arash Mohammadi
Methods of the Perturbation Theory for Fundamental Solutions to the Generalization of the Fractional Laplaciane: Mykola Ivanovich Yaremenko
Modeling of Thermal Conductivity in Gas Field Rocks: ChiÈ™ Timur, Jugastreaanu Cristina, Tabatabai Seyed Mehdi and Renata Radulescu
Moving Node Method for Differential Equations: Umurdin Dalabaev and Malika Raximberdiyevna Ikramova
Numerical Simulation of Land and Sea Breeze (LSB) Circulation along the Guinean Coast of West Africa: Amadou Coulibaly, Bayo J. Omotosho, Amoro Coulibaly, Mouhamadou B. Sylla and Abdoulaye Ballo
Numerical Simulation on Sand Accumulation behind Artificial Reefs and Enhancement of Windblown Sand to Hinterland: Takaaki Uda, Takuya Yokota and Yasuhito Noshi
Numerical Simulations and Validation of Engine Performance Parameters Using Chemical Kinetics: Muzammil Arshad
On the Analytical Properties of Prime Numbers: Shazali Abdalla Fadul
Perspective Chapter: Computational Modeling for Predicting the Optical Distortions through the Hypersonic Flow Fields: Tao Wang
Simulation Study of Microwave Heating of Hematite and Coal Mixture: Prasenjit Singha, Sunil Yadav, Soumya Ranjan Mohanty, Abhishek Tiwari and Ajay Kumar Shukla
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: Inci Zaim Gokbay, Yasemin Oyaci and Sacide Pehlivan

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Persistent link: https://EconPapers.repec.org/RePEc:ito:pbooks:8256

DOI: 10.5772/intechopen.100786

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