Introduction to Unconstrained Optimization - Scilab
Introduction to Unconstrained Optimization - Scilab
Introduction to Unconstrained Optimization - Scilab
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
<strong>Optimization</strong><br />
Discrete<br />
Parameters<br />
Continuous<br />
Parameters<br />
Several<br />
Objectives<br />
One<br />
Objective<br />
Non Smooth<br />
Smooth<br />
Without<br />
Constraints<br />
With<br />
Constraints<br />
Bounds<br />
Constraints<br />
Linear<br />
Constraints<br />
Non-linear<br />
Constraints<br />
Linear<br />
Objective<br />
Quadratic<br />
Objective<br />
Non-linear<br />
Objective<br />
1-10<br />
Unknowns<br />
10-100<br />
Unknowns<br />
>100<br />
Unknowns<br />
Figure 1: Classes of optimization problems<br />
5