Please use this identifier to cite or link to this item: http://dspace.univ-usto.dz/handle/123456789/648
Titre: Numerical Methods Course
Auteur(s): Ourdighi, Asmaa
Mots-clés: Numerical Analysis, Error Analysis, Linear Systems
Direct Methods, Gauss Method, LU Factorization, Iterative Methods
Jacobi Method, Gauss-Seidel Method, Relaxation Method
Localization of Eigenvalues, Gershgorin Circle Theorem, Power Method.
Date de publication: 12-Dec-2024
Résumé: Numerical analysis is fundamentally intertwined with computer science. The advent of high- performance computing has revolutionized the field, enabling the solution of complex mathematical problems that were previously intractable. Numerical methods are at the heart of computational software, from scientific simulations to data analysis tools. Computer scientists design efficient algorithms and data structures to implement these methods, while numerical analysts develop the mathematical foundations. This interdisciplinary collaboration has led to groundbreaking advancements in fields such as artificial intelligence, machine learning, and data science, where numerical techniques are essential for tasks like training neural networks, processing large datasets, and solving optimization problems
URI/URL: http://dspace.univ-usto.dz/handle/123456789/648
Appears in Collections:Cours en ligne

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