Ordinary Differential Equations: Cauchy Problem

Related lectures (29)

Page 2 of 3

Explores elasto-gravity bending in thin sheets, covering bending energy, equilibrium shapes, and numerical methods.

Covers the application of numerical methods to solve differential equations using MATLAB.

Covers the progressive Euler method for numerical integration of ODEs, including Cauchy problems and Runge-Kutta methods.

Explores boundary value problems, finite difference method, and Joule heating examples in 1D.

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

Covers the Runge-Kutta method for approximating solutions of differential equations.

Explores inverse monotonicity in numerical methods for differential equations, emphasizing stability and convergence criteria.

Covers error division and schemes for solving differential equations.

Explores MATLAB integration, differentiation, ODE solvers, and simulation techniques for dynamic systems.

Covers exam-like problems on nonlinear equations, ODEs, and numerical methods.