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Lecture
Dynamic Systems: Formalism and Bases
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Related lectures (30)
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Error Estimation in Numerical Methods
Explores error estimation in numerical methods for solving differential equations, focusing on local truncation error, stability, and Lipschitz continuity.
Implicit Schemes in Numerical Analysis
Explores implicit schemes in numerical analysis, emphasizing stability and convergence properties in solving differential equations.
Numerical Methods for ODEs: Crank-Nicolson, Heun, Euler, RK4
Explores numerical methods like Crank-Nicolson, Heun, Euler, and RK4 for solving ODEs, emphasizing error estimation and convergence.
Advanced Numerical Analysis: Space Discretization
Explores advanced space discretization techniques in numerical analysis for solving differential systems efficiently and accurately.
Elasto-Gravity Bending: Energy and Equilibrium
Explores elasto-gravity bending in thin sheets, covering bending energy, equilibrium shapes, and numerical methods.
Numerical Differentiation: Part 1
Covers numerical differentiation, forward differences, Taylor's expansion, Big O notation, and error minimization.
Differential Equations: Numerical Methods
Covers the solution of first-order differential equations using numerical methods.
Non-linear Systems in 2D: Predator-Prey Models
Covers non-linear systems in 2D, focusing on predator-prey models and stability analysis of fixed points.
Numerical Methods: Boundary Value Problems
Explores boundary value problems, finite difference method, and Joule heating examples in 1D.
Phase Portraits and Predator-Prey Models
Explores phase portraits in 2D systems and the dynamics of predator-prey models.
