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Himmelblau's function : ウィキペディア英語版
Himmelblau's function

In mathematical optimization, Himmelblau's function is a multi-modal function, used to test the performance of optimization algorithms.
The function is defined by:
: f(x, y) = (x^2+y-11)^2 + (x+y^2-7)^2.\quad
It has one local maximum at x = -0.270845 \, and y = -0.923039 \, where f(x,y) = 181.617 \,, and four identical local minima:
* f(3.0, 2.0) = 0.0, \quad
* f(-2.805118, 3.131312) = 0.0, \quad
* f(-3.779310, -3.283186) = 0.0, \quad
* f(3.584428, -1.848126) = 0.0. \quad
The locations of all the minima can be found analytically. However, because they are roots of cubic polynomials, when written in terms of radicals, the expressions are somewhat complicated.
The function is named after David Mautner Himmelblau (1924–2011), who introduced it.
== See also ==

*Test functions for optimization

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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