Target audience

Doctoral researchers and scientists already understanding fundamental statistics (e.g. regression), numerical mathematics (matrix and vector calculus), and programming.

Contents

Linear and non-linear optimization problems, linearization techniques, model discretization, local search and global search optimzation techniques using examples from statistics, geophysics, hydrology, ambiguity/uncertainty, learn to setup your own optimization, code examples are offered in matlab, requires fundamental statistical understanding (e.g. regression), numerical mathematics (matrix and vector calculus), programming

> More information, module 2017-36

Former occurrences of this course

• 1-3 February 2016