Numerical Methods Course

dc.contributor.authorOurdighi, Asmaa
dc.date.accessioned2024-12-12T08:30:17Z
dc.date.available2024-12-12T08:30:17Z
dc.date.issued2024-12-12
dc.description.abstractNumerical 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 problemsen_US
dc.identifier.urihttps://dspace.univ-usto.dz/handle/123456789/648
dc.subjectNumerical Analysis, Error Analysis, Linear Systemsen_US
dc.subjectDirect Methods, Gauss Method, LU Factorization, Iterative Methodsen_US
dc.subjectJacobi Method, Gauss-Seidel Method, Relaxation Methoden_US
dc.subjectLocalization of Eigenvalues, Gershgorin Circle Theorem, Power Method.en_US
dc.titleNumerical Methods Courseen_US
dc.typeOtheren_US

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