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OptimizationTarget Namespace Reference

Compounds
class	EllipsoidTarget
class	GriewangkTarget
class	MandelbrotTarget
class	ParabolicRidgeTarget
class	RastriginTarget
class	RosenbrockTarget
class	SchwefelTarget
class	SphereTarget
Functions
	sqr (x)
	__init__ (self, Name='No Name', Minimize=true)
	xopt (self)
	evaluate (self, x)
	qfun (self)
	MandelbrotIteration (p, n)

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Function Documentation

__init__ (  self   , Name    = 'No Name', Minimize    = true )

evaluate (  self   , x    )

Optimization evaluation function. Maps input vector x to scalar error resp. quality value.

MandelbrotIteration (  p   , n    )

Mandelbrot iteration. Do at most n iterations of the complex mapping X(i+1) = Xi² + c with parameter c and X0 = 0 until it diverges (max. n times), divergence criterium is | Xi | > 2.0. Periodicity checking is also done. Arguments: p(ro): List of length one containing complex constant c. This also represents X1. Return value: number of iterations done in case of divergence minus period in case of periodicity n else. Also on return list p will contain the iteration sequence (X0 excluded).

qfun (  self    )

Get the quality evaluation function

sqr (  x    )

xopt (  self    )

Get optimum vector (pure virtual).

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