Runge-Kutta and Multi-Step Methods

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Covers Euler and Crank-Nicolson methods for solving differential equations.

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

Covers the semester project on numerics, focusing on adaptive algorithms and multistep methods.

Covers the Crank-Nicolson and Heun's methods, discussing uniqueness of solutions and truncation errors in numerical methods.

Explores numerical integration methods and their application in solving differential equations and simulating physical systems.

Covers high order methods for space discretisation in linear differential systems.

Covers numerical methods for solving boundary value problems using finite difference, FFT, and finite element methods.

Explores numerical methods like Crank-Nicolson, Heun, Euler, and RK4 for solving ODEs, emphasizing error estimation and convergence.

Explores numerical methods for solving ODE systems, stability regions, and absolute stability importance.

Explores Runge Kutta and multistep methods for solving ODEs, including Backward Euler and Crank-Nicolson.