Abstract:
Computer and numerical sciences encompass a broad range of disciplines that revolve around the study and application of computational methods, algorithms, and mathematical models for solving complex problems. This abstract provides an overview of the key concepts and areas within computer and numerical sciences. Purpose of Study: The field of computer science focuses on the theory, design, development, and application of computer systems and software. It encompasses various subfields such as artificial intelligence, machine learning, data science, computer graphics, computer networks, software engineering, and computer architecture. Computer scientists strive to create efficient algorithms, design robust software systems, and explore new frontiers in computing technology. Numerical sciences, on the other hand, are concerned with the development and analysis of numerical methods for solving mathematical problems. This interdisciplinary field draws heavily from mathematics, statistics, and computer science to tackle a wide range of challenges. Numerical analysis involves designing and analyzing algorithms for problems like numerical integration, solving differential equations, optimization, and linear algebra. These algorithms enable scientists and engineers to simulate and model complex phenomena in various fields such as physics, engineering, finance, and biology. Results The advancements in computer and numerical sciences have had a profound impact on various aspects of society. They have revolutionized industries, such as finance, healthcare, transportation, and entertainment, by enabling sophisticated data analysis, predictive modeling, and automation. These fields also play a crucial role in scientific research, aiding scientists in data analysis, simulation, and hypothesis testing. Conclusion: Computer and numerical sciences form a multidisciplinary domain that combines mathematics, computer science, and computational techniques to solve complex problems. The continuous development of algorithms, computational models, and data analysis methods in these fields drives innovation and enables advancements in various industries and scientific domains.
Page(s):
111-111
DOI:
DOI not available
Published:
Journal: Abstract Book on International Conference on Food and Applied Sciences (ICFAS-23) 3-5 August 23, Volume: 0, Issue: 0, Year: 2023