Quick Start
Unconstrained Optimization
Objective function: | 0.1x4 - 10x2 - 20x + y2 |
1. Choosing unconstrained optimization problem and entering
the objective function.
![](images/define_unconstrained_problem.en.png)
2. Choosing Marquardt's method and entering coordinates of
the starting point.
![](images/choose_method_unconstrained.en.png)
3. Detailed description of each optimization step.
![](images/text_result_unconstrained.en.png)
4. Optimization process illustrated over a function
plot.
![](images/plot_result_unconstrained.en.png)
Constrained Optimizaton
Optimization of a function with feasible region being the left half of a circle with origin in point (0; 0) and 4 unit radius.
Objective function: | 0.1x4 - 5x2 - 10x + y2 |
Constraints: | |
x ≤ 0 |
1. Choosing constrained optimization problem and entering the
objective function.
![](images/set_function_constrained.en.png)
2. Entering constraint (circle with 4 unit radius and origin
in the point (0; 0)).
![](images/enter_constraint.en.png)
3. The entered optimization problem with constraints.
![](images/define_constrained_problem.en.png)
4. Choosing Hooke-Jeeve's method and entering coordinates of
the starting point.
![](images/choose_method_constrained.en.png)
5. Subsequent approximations of the result shown on a plot
(the feasible region is the left half of the circle).
![](images/plot_result_constrained.en.png)