After four years of development, LibBi is now available as open source software. LibBi is used for state-space modelling and Bayesian inference on high-performance computer hardware, including multi-core CPUs, many-core GPUs (graphics processing units) and distributed-memory clusters.
The staple methods of LibBi are based on sequential Monte Carlo (SMC), also known as particle filtering. These methods include particle Markov chain Monte Carlo (PMCMC) and SMC2. Other methods include the extended Kalman filter and some parameter optimisation routines.
LibBi consists of a C++ template library, as well as a parser and compiler, written in Perl, for its own modelling language.
Tintii Photoshop plugin tutorial 14 Oct 2009 Red Umbrellas on Rose Street
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5 Tips to using the Urban Lightscape Photoshop plugin 22 Apr 2012 Leap ahead with these five quick tips for using the [Urban Lightscape Photoshop plugin] to correct exposure and balance lighting in your pictures.