generateInputFeasibleValues

fun generateInputFeasibleValues(rnStream: RNStreamIfc = KSLRandom.defaultRNStream()): InputMap(source)

Generates a random point that is feasible with respect to the input ranges, the linear constraints, and the functional constraints. If the number of sampling iterations needed to get a feasible point exceeds maxFeasibleSamplingIterations then an IllegalStateException will occur.

Return

the sampled point

Parameters

rnStream

the stream to use when generating random points within the input range space. By default, this uses the default random number stream KSLRandom.defaultRNStream