D Optimal Design

Basic Idea

• Minimize the -log_det(I) where I is the information matrix

To run the program

[del , ANS, error] = D_opt_mod(N,t,theta,range,fun) 

Description

Outputs

• del ~ fitness value

• ANS ~ resulted supporting points and its weights

• error ~ maximum measurement error

Parameters

• N ~ number of design points

• t ~ level of skewness

• theta ~ parameter values

• range ~ design space

• fun ~ function that calculates partial derivatives of the selected model