Bridging the gap between thermodynamic integration and umbrella sampling provides a novel analysis method: "Umbrella integration".

@article{Kstner2005BridgingTG,
  title={Bridging the gap between thermodynamic integration and umbrella sampling provides a novel analysis method: "Umbrella integration".},
  author={Johannes K{\"a}stner and Walter Thiel},
  journal={The Journal of chemical physics},
  year={2005},
  volume={123 14},
  pages={144104}
}
We present a method to analyze biased molecular-dynamics and Monte Carlo simulations, also known as umbrella sampling. In the limiting case of a strong bias, this method is equivalent to thermodynamic integration. It employs only quantities with easily controllable equilibration and greatly reduces the statistical errors compared to the standard weighted histogram analysis method. We show the success of our approach for two examples, one analytic function, and one biological system. 

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