A new Hybrid Monte Carlo (HMC) algorithm has been developed to test protein potential functions and, ultimately, refine protein structures. The main principle of this algorithm is, in each cycle, a new trial conformation is generated by carrying out a short period of molecular dynamics (MD) iteratio
β¦ LIBER β¦
A note on monte carlo primality tests and algorithmic information theory
β Scribed by Gregory J. Chaitin; Jacob T. Schwartz
- Publisher
- John Wiley and Sons
- Year
- 1978
- Tongue
- English
- Weight
- 377 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0010-3640
No coin nor oath required. For personal study only.
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## Abstract We provide an overview of the use of kernel smoothing to summarize the quantitative trait locus posterior distribution from a Markov chain Monte Carlo sample. More traditional distributional summary statistics based on the histogram depend both on the bin width and on the sideway shift
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