Sampler.cpp
Go to the documentation of this file.00001 /**<!--------------------------------------------------------------------> 00002 @file Sampler.cpp 00003 @author Travis Fischer (fisch0920@gmail.com) 00004 @author Matthew Jacobs (jacobs.mh@gmail.com) 00005 @date Fall 2008 00006 00007 @brief 00008 Represents an abstract random variable that can be sampled according 00009 to some discrete/continuous probability distribution 00010 <!-------------------------------------------------------------------->**/ 00011 00012 #include "Sampler.h" 00013 00014 Event Sampler::sample(real_t &pdf) { 00015 const Event &x = sample(); 00016 //ASSERT(m_sampleSpace && m_sampleSpace->contains(x)); 00017 00018 pdf = getPdf(x); 00019 00020 // pdf should be strictly positive because x was sampled, so we know it 00021 // should have a non-zero probability density (and pdfs are always 00022 // non-negative) 00023 ASSERT(pdf > 0); 00024 00025 return x; 00026 } 00027
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