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@ -315,7 +315,7 @@ public class PrismSettings implements Observer |
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// FAST ADAPTIVE UNIFORMISATION |
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{ DOUBLE_TYPE, PRISM_FAU_EPSILON, "FAU epsilon", "4.1", new Double(1E-6), "", |
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"For fast adaptive uniformisation (FAU), states whose probability is below this value will be removed." }, |
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"For fast adaptive uniformisation (FAU), decides how much probability may be lost due to truncation of birth process." }, |
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{ DOUBLE_TYPE, PRISM_FAU_DELTA, "FAU cut off delta", "4.1", new Double(1E-12), "", |
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"For fast adaptive uniformisation (FAU), states whose probability is below this value will be removed." }, |
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{ INTEGER_TYPE, PRISM_FAU_ARRAYTHRESHOLD, "FAU array threshold", "4.1", new Integer(100), "", |
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@ -1490,6 +1490,7 @@ public class PrismSettings implements Observer |
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mainLog.println("-paramdagmaxerror <b> .......... Maximal error probability allowed for DAG function representation [default: 1E-100]"); |
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mainLog.println(); |
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mainLog.println("FAST ADAPTIVE UNIFORMISATION (FAU) OPTIONS:"); |
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mainLog.println("-fauepsilon <x> ................ Set probability threshold of birth process in FAU [default: 1e-6]"); |
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mainLog.println("-faudelta <x> .................. Set probability threshold for irrelevant states in FAU [default: 1e-12]"); |
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mainLog.println("-fauarraythreshold <x> ......... Set threshold when to switch to sparse matrix in FAU [default: 100]"); |
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mainLog.println("-fauintervals <x> .............. Set number of intervals to divide time intervals into for FAU [default: 1]"); |
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