public LogNormalSimulatedAnnealing(SamplerLogNormal sampler, ProbabilityBoltzmannDownhill probability, TemperatureExponential temperature, ReannealingTrivial reannealing, double startTemperature, double endTemperature, uint reAnnealSteps, LogNormalSimulatedAnnealing.ResetScheme resetScheme) : this(NQuantLibcPINVOKE.new_LogNormalSimulatedAnnealing__SWIG_1(SamplerLogNormal.getCPtr(sampler), ProbabilityBoltzmannDownhill.getCPtr(probability), TemperatureExponential.getCPtr(temperature), ReannealingTrivial.getCPtr(reannealing), startTemperature, endTemperature, reAnnealSteps, (int)resetScheme), true) { if (NQuantLibcPINVOKE.SWIGPendingException.Pending) { throw NQuantLibcPINVOKE.SWIGPendingException.Retrieve(); } }
public LogNormalSimulatedAnnealing(SamplerLogNormal sampler, ProbabilityBoltzmannDownhill probability, TemperatureExponential temperature, ReannealingTrivial reannealing) : this(NQuantLibcPINVOKE.new_LogNormalSimulatedAnnealing__SWIG_5(SamplerLogNormal.getCPtr(sampler), ProbabilityBoltzmannDownhill.getCPtr(probability), TemperatureExponential.getCPtr(temperature), ReannealingTrivial.getCPtr(reannealing)), true) { if (NQuantLibcPINVOKE.SWIGPendingException.Pending) { throw NQuantLibcPINVOKE.SWIGPendingException.Retrieve(); } }
public GaussianSimulatedAnnealing(SamplerGaussian sampler, ProbabilityBoltzmannDownhill probability, TemperatureExponential temperature, ReannealingTrivial reannealing, double startTemperature) : this(NQuantLibcPINVOKE.new_GaussianSimulatedAnnealing__SWIG_4(SamplerGaussian.getCPtr(sampler), ProbabilityBoltzmannDownhill.getCPtr(probability), TemperatureExponential.getCPtr(temperature), ReannealingTrivial.getCPtr(reannealing), startTemperature), true) { if (NQuantLibcPINVOKE.SWIGPendingException.Pending) { throw NQuantLibcPINVOKE.SWIGPendingException.Retrieve(); } }