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Rounding error using low precision approximate random variables

Documentation:
A rounding model for low precision simulations. Data are generated on a arm hardware using a mix of Python and C using half precision. The data are the multilevel Monte Carlo variances and time savings. Code can be found at https://github.com/oliversheridanmethven/low_precision_approximate_random_variables

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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Creator


Publisher:
University of Oxford
Publication date:
2020
Digital size:
200KB
File format:
.zip/.json
Digital storage location:
Zip folder, for enquires contact Oliver Sheridan-Methven.


Deposit date:
2020-12-18

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