Numerical Analysis II

dc.contributor.authorMEZOUAGHI Abdelheq
dc.date.accessioned2026-06-15T10:09:28Z
dc.date.available2026-06-15T10:09:28Z
dc.date.issued2026
dc.descriptionIntended for students of Second Year LMD Mathematics Degree (L2) Faculty of Exact Sciences And Informatics Department of Mathematics
dc.description.abstractNumerical analysis forms the cornerstone of modern scientific computing, enabling the solution of complex mathematical problems where analytical methods fail. This discipline is crucial for physics simulations, engineering design, financial modeling, and artificial intelligence applications. Our course material equips second-year LMD mathematics students with fundamental computational techniques, beginning with linear system solutions (Gaussian elimination, iterative methods) in Chapter 1. Chapter 2 covers eigenvalue problems, essential for stability analysis and machine learning algorithms. First-order differential equations (Chapter 3) model dynamic systems in biology and economics, solved numerically via Euler and Runge-Kutta methods. The final chapter tackles nonlinear algebraic systems using Newton-Raphson iterations, vital for optimization and control theory. Through algorithmic rigor and MATLAB examples, we emphasize error analysis and computational efficiency. Progressive exercises develop both theoretical understanding and practical implementation skills, preparing students for research and industry challenges in applied mathematics.
dc.identifier.urihttps://dspace.univ-chlef.dz/handle/123456789/2477
dc.language.isoen
dc.publisherUniversity Hassiba Benbouali of Chlef
dc.titleNumerical Analysis II
dc.typeWorking Paper

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