Comments (4)
Turns out SPRNG is a poorly designed, deprecated code base that is hard to build. I am moving to the Boost random library as I already have a TPL dependency on boost and these are the algorithms moving into the C++11 standard.
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Hmmm... I've relied on SPRNG fine in the past... What are the algorithms/parameters of the Boost library?
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It looks like there's a lot of good stuff with references to published literature in here:
http://www.boost.org/doc/libs/1_51_0/doc/html/boost_random/reference.html
from chimera.
This is complete with unit tests for boost implementations. If SPRNG is really desired in the future then we can simply write the traits adapters for it.
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Related Issues (20)
- Prelim Exam Slides for Monte Carlo Linear Methods
- Prelim Exam Slides for Nonlinear Methods
- Prelim Exam Slides for Research Plan
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- Design a series of computational experiments for domain replication studies.
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- Spectral Analysis of SPn Equations HOT 10
- Drekar Access HOT 2
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- SPN Convergence Analysis for Reactor Problems HOT 36
- Expected Value Estimator Anlaysis HOT 6
- ParaSails Preconditioner Analysis for the SPN Equations HOT 5
- Reduced Domain Approximation Analysis HOT 2
- Proof-of-Principle Calculation for the FANM Method HOT 2
- Nonlinear Benchmark 1: Thermal Convection Cavity
- Nonlinear Benchmark 2: Lid-Driven Cavity
- Nonlinear Benchmark 3: Backward-Facing Step
- Asymmetric Benchmark 1: Problem 3
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