Numerical algorithms for estimation of model parameters. Objective functions, norms, root finding, curve fitting, least squares regression, unconstrained optimization, constrained optimization, gradient ascent/descent, Newton-Raphson. Applications to a variety of geophysical survey methods.
This course may not be repeated for credit.
Prerequisite(s)
- Mathematics 211; and Mathematics 267 or 277; and Geophysics 351 or 355; and 3 units from Computer Science 217, 231, 235 or Data Science 211.
Sections
This course will be offered next in
Winter 2024.