In mathematical optimization, the Himmelblau's function is a multi-modal function, used to test the performance of optimization algorithms.
The function is defined by:

It has one local maximum at and where , and four identical local minima:

• ,

• ,

• ,

• .

The locations of all the minima can be found analytically, but the expressions are long and complicated.