Numerical Analysis: Jupyter Notebook Tutorial

Related lectures (28)

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Covers the basics of numerical analysis and computational methods using Python, focusing on algorithms and practical applications in mathematics.

Covers linear systems, non-linear equations, and interpolation for numerical analysis.

Covers the numerical resolution of groundwater flows using finite elements and emphasizes the importance of spatial and temporal discretization.

Covers the stability analysis of ODEs using numerical methods and discusses stability conditions.

Covers the isoparametric formulation of the Quad4 planar element and stiffness matrix calculation.

Introduces the basics of finite element modeling for dynamics and discusses the Newmark method for time integration.

Covers advanced topics in numerical analysis, focusing on techniques for solving complex mathematical problems.

Covers the analysis of speed variation using differential equations and small time intervals.

Covers the derivation of the equation of motion, interpolation, Newton's equation, and energy conservation in finite element modeling.

Explores direction fields, Euler methods, and differential equations through practical exercises and stability analysis.