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class GalileanEngine( Engine )	Source

Move all parameters in forward steps, with optional mirroring on the edge.

Move the parameters in a random direction for N iterations; mirror the direction on the gradient of the logLikelihood when the parameters enter the zone of logLlow.

Attributes

• size : 0.5
       of the step

Attributes from Engine

walkers, errdis, maxtrials, nstep, slow, rng, report, phantoms, verbose

Author Do Kester.

GalileanEngine( walkers, errdis, copy=None, **kwargs )

Default Constructor.

Parameters

• walkers : WalkerList
       walkers to be diffused
• errdis : ErrorDistribution
       error distribution to be used
• copy : GalileanEngine
       to be copied
• kwargs : for Engine
       "phantoms", "slow", "seed", "verbose"

copy( )

Return copy of this.

execute( kw, lowLhood, append=False, iteration=0 )

Execute the engine by diffusing the parameters.

Parameters

• kw : int
       index in walkerlist, of the walker
• lowLhood : float
       lower limit in logLikelihood
• append : bool
       set walker in place of append

Returns

• int : the number of successfull moves

quadinterpol( L0, Lm, L1, lowL )

Quadratic interpolation of points (x,y) x = [0.0, 0.5, 1.0] y = [L0, Lm, L1] where L0 > Lm > L1 interpolation at y = lowL.

Returns

• xvalue : float
       largest of the two inside [0,1]

Methods inherited from Engine

• bestBoost( problem, myFitter=None )
• setWalker( kw, problem, allpars, logL, walker=None, fitIndex=None )
• noBoost( walker )
• doBoost( walker )
• domain2Unit( problem, dval, kpar=None )
• unit2Domain( problem, uval, kpar=None )
• startJourney( unitStart )
• calcJourney( unitDistance )
• reportJourney( )
• makeIndex( np, val )
• reportCall( )
• reportSuccess( )
• reportReject( )
• reportFailed( )
• reportBest( )
• printReport( best=False )
• successRate( )
• getUnitMinmax( problem, lowLhood )
• getUnitRange( problem, lowLhood )