Lagrange Interpolation
Approximate functions using polynomial interpolation without solving linear systems.
Approximate functions using polynomial interpolation without solving linear systems.
Derive and interpret the dual form of an optimization problem.
Plot ellipses using conic, quadratic, and parametric representations.
Implement a regression tree from scratch using only numpy.
Solve constrained optimization problems using your favorite unconstrained solver.
Create cleaner 3D surface plots using radial and elliptical grids in matplotlib.
Fit nonlinear models using Gauss-Newton and Levenberg-Marquardt algorithms.