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A Optimal Design

Chi-Kuang Yeh edited this page Oct 2, 2017 · 1 revision

Basic Idea

  • Minimize the -tr(CI) where I is the information matrix under SLSE and C is the direct sum of 0 and Identity matrix Id with dim(Id) = dim(I)-1

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

Wiki

D-Optimality

A-Optimality

C-Optimality

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