Numerical methods for ordinary differential equations

Related lectures (29)

Page 3 of 3

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

Covers open methods, Newton-Raphson, and secant method for iterative solutions in numerical methods.

Explores ordinary differential equations and numerical integration methods for stability and accuracy.

Explores zero-stability and absolute-stability in numerical methods, including Forward Euler, Backward Euler, Crank-Nicolson, and Heun's methods.

Explores numerical differentiation methods and round-off errors in computer computations.

Covers Ordinary Differential Equations, first-order solutions, and numerical methods for IVP and BVP.

Focuses on Euler schemes for numerical approximation of forces and velocities.

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

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