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Related lectures (25)
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Explicit RK Methods
Explains explicit Runge-Kutta methods up to order 4 and conditions for method's order.
Ordinary Differential Equations: Error Analysis
Explores error analysis in ordinary differential equations and convergence criteria for numerical methods.
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.
Predictor-Corrector Method: Harmonic Oscillator
Explores the Predictor-Corrector method for the harmonic oscillator and Runga-Kutta method in differential equations.
Heat Equation: Separation of Variables
Covers the application of separation of variables method to solve the heat equation.
Ordinary Differential Equations: Solutions and Methods
Explores methods for ordinary differential equations and the importance of Lipschitz continuity in ensuring unique solutions.
Numerics for Fluids, Structures and Electromagnetics: Projects Rules
Students in 'Numerics for Fluids, Structures and Electromagnetics' must complete projects individually or in pairs, following specific rules and evaluation criteria.
Runge-Kutta Methods: Approximating Differential Equations
Covers the stages of the explicit Runge-Kutta method for approximating y(t) with detailed explanations.
Explicit Stabilised Methods: Stochastic Differential Equations
Covers explicit stabilized methods for stiff stochastic differential equations, analyzing their properties and applications.
Runge-Kutta Methods: Stability and Implicit Schemes
Explores digital integration methods, stability, and implicit schemes in Runge-Kutta methods.