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Colt 1.2.0 | ||||||||||
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| Packages that use cern.jet.random.engine | |
| cern.colt.matrix.doublealgo | Double matrix algorithms such as print formatting, sorting, partitioning and statistics. |
| cern.jet.random | Large variety of probability distributions featuring high performance generation of random numbers, CDF's and PDF's. |
| cern.jet.random.engine | Engines generating strong uniformly distributed pseudo-random numbers; Needed by all JET probability distributions since they rely on uniform random numbers to generate random numbers from their own distribution. |
| cern.jet.random.sampling | Samples (picks) random subsets of data sequences. |
| cern.jet.stat.quantile | Scalable algorithms and data structures to compute approximate quantiles over very large data sequences. |
| hep.aida.bin | Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution. |
| Classes in cern.jet.random.engine used by cern.colt.matrix.doublealgo | |
| RandomEngine
Abstract base class for uniform pseudo-random number generating engines. |
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| Classes in cern.jet.random.engine used by cern.jet.random | |
| RandomEngine
Abstract base class for uniform pseudo-random number generating engines. |
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| Classes in cern.jet.random.engine used by cern.jet.random.engine | |
| MersenneTwister
MersenneTwister (MT19937) is one of the strongest uniform pseudo-random number generators known so far; at the same time it is quick. |
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| RandomEngine
Abstract base class for uniform pseudo-random number generating engines. |
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| Classes in cern.jet.random.engine used by cern.jet.random.sampling | |
| RandomEngine
Abstract base class for uniform pseudo-random number generating engines. |
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| Classes in cern.jet.random.engine used by cern.jet.stat.quantile | |
| RandomEngine
Abstract base class for uniform pseudo-random number generating engines. |
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| Classes in cern.jet.random.engine used by hep.aida.bin | |
| RandomEngine
Abstract base class for uniform pseudo-random number generating engines. |
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Colt 1.2.0 | ||||||||||
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