Section 5: Optimisation
5.1 Aims and Objectives
5.2 Overview and General Notes
5.2.1 Data Fitting as Optimisation
5.3 Notes on Mathematics
5.3.1 Optimisation
5.3.2 Non-gradient Methods
5.3.2.1 Algorithm for Unbounded Search
5.3.3 Quadratic Approximation
5.3.3.1 Quadratic Approximation Formula
5.3.3.2 Algorithm for Bounded Search: Golden Section
5.4 Example Problems
5.4.1 Single Variable NLP Optimisation Problems
5.4.2 LP Problems
5.4.3 MILP Problems
Section 5 in printable format
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Last Modified 2/9/00