Numerical Analysis, 5 cr
- Description
- Completion options
Core content:
Discretizing ordinary differential equations
Solving linear and nonlinear systems
Interpolating functions
Function approximations
Numerical integration
Error analysis
Complementary content:
Matlab and/or Python in problem solving
Visualizing solutions
Special content:
Numerical methods for partial differential equations, e.g., finite difference and finite element methods
Runge-Kutta and Leap-Frog methods for solving initial value problems
Methods for fining roots, e.g., Newton-Raphson method
Polynomial, spline and wavelet approximations
Interpolation methods such as Runge's method
Numerical quadratures, for example, Newton-Cotes -method, trapezoid and Simpson's formula
Least squares fitting methods