@article {Derflinger;Hoermann:2005a,
	title = {Asymptotically Optimal Design Points for Rejection Algorithms},
	journal = {Communications in Statistics: Simulation and Computation},
	volume = {34},
	number = {4},
	year = {2005},
	pages = {879-893},
	author = {Derflinger, Gerhard and Wolfgang H{\"o}rmann}
}
@book {724,
	title = {Automatic Nonuniform Random Variate Generation},
	year = {2004},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Berlin Heidelberg},
	author = {Wolfgang H{\"o}rmann and Leydold, Josef and Derflinger, Gerhard}
}
@article {Leydold;etal:2003a,
	title = {An Automatic Code Generator for Nonuniform Random Variate Generation},
	journal = {Mathematics and Computers in Simulation},
	volume = {62},
	number = {3{\textendash}6},
	year = {2003},
	pages = {405{\textendash}412},
	author = {Leydold, Josef and Derflinger, Gerhard and Tirler, G{\"u}nter and Wolfgang H{\"o}rmann}
}
@article {Hoermann:2000a,
	title = {Algorithm 802: An Automatic Generator for Bivariate Log-Concave Distributions},
	journal = {ACMTOMS},
	volume = {26},
	number = {1},
	year = {2000},
	pages = {201{\textendash}219},
	abstract = {<p>Different automatic (also called universal or black-box) methods have been suggested to sample from univariate log-concave distributions. Our new automatic algorithm for bivariate log-concave distributions is based on the method of transformed density rejection. In order to construct a hat function for a rejection algorithm the bivariate density is transformed by the logarithm into a concave function. Then it is possible to construct a dominating function by taking the minimum of several tangent planes, which are by exponentiation transformed back into the original scale. The choice of the points of contact is automated using adaptive rejection sampling. This means that points that are rejected by the rejection algorithm can be used as additional points of contact. The paper describes the details how this main idea can be used to construct Algorithm ALC2D that can generate random pairs from all bivariate log-concave distributions with known domain, computable density and computable partial derivatives.</p>},
	url = {http://www.acm.org/pubs/citations/journals/toms/2000-26-1/p201-hormann/},
	author = {Wolfgang H{\"o}rmann}
}
@conference {Hoermann;Leydold:2000a,
	title = {Automatic Random Variate Generation for Simulation Input},
	booktitle = {Proceedings of the 2000 Winter Simulation Conference},
	year = {2000},
	pages = {675{\textendash}682},
	author = {Wolfgang H{\"o}rmann and Leydold, Josef}
}
@conference {Leydold;Hoermann:1997a,
	title = {The automatic generation of one- and multi-dimensional distributions with transformed density rejection},
	booktitle = {Proceedings of the 15th IMACS World-Congress, Berlin, Vol 2},
	year = {1997},
	pages = {757{\textendash}760},
	author = {Leydold, Josef and Wolfgang H{\"o}rmann}
}
@conference {Hoermann;Derflinger:1997a,
	title = {An automatic generator for a large class of unimodal discrete distributions},
	booktitle = {ESM 97},
	year = {1997},
	pages = {139{\textendash}144},
	author = {Wolfgang H{\"o}rmann and Derflinger, Gerhard}
}
@article {Hoermann;Derflinger:1990a,
	title = {The ACR method for generating normal random variables},
	journal = {OR Spektrum},
	volume = {12},
	number = {3},
	year = {1990},
	pages = {181{\textendash}185},
	keywords = {acceptance-complement method, ACR method, decomposition method, normal random number generator, ratio of uniform method},
	author = {Wolfgang H{\"o}rmann and Derflinger, Gerhard}
}
