A constrained Monte Carlo problem arises when one computes an expectation in the presence of a priori computable constraints on the expectations of quantities that are correlated ...
An important step in designing stochastic simulation is modeling the uncertainty in the input environment of the system being studied. Obtaining a reasonable representation of thi...
Astatistical theory of local alignmentalgorithms with gaps is presented. Both the linear and logarithmic phases, as well as the phase transition separating the two phases, are des...
Several papers ([Appe189],[Goldberg9 1]) have recently claimed that garbage collection can be performed on untagged data in the presence of ML-style type polymorphism. They rely o...
: We present a software package for fast pedigree reconstruction in natural populations using co-dominant genomic markers such as microsatellites and SNPs. If available, the algori...
Markus Riester, Peter F. Stadler, Konstantin Klemm