Module nyx_space::mc [−][src]
Expand description
Monte Carlo module
Modules
helpers |
Structs
Normal | The normal distribution |
StdRng | The standard RNG. The PRNG algorithm in |
ThreadRng | A reference to the thread-local generator |
Uniform | Sample values uniformly between two bounds. |
Traits
CryptoRng | A marker trait used to indicate that an |
Distribution | Types (distributions) that can be used to create a random instance of |
FromParallelIterator |
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IndexedParallelIterator | An iterator that supports “random access” to its data, meaning that you can split it at arbitrary indices and draw data from those points. |
IntoParallelIterator |
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IntoParallelRefIterator |
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IntoParallelRefMutIterator |
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IteratorRandom | Extension trait on iterators, providing random sampling methods. |
ParallelBridge | Conversion trait to convert an |
ParallelDrainFull |
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ParallelDrainRange |
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ParallelExtend |
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ParallelIterator | Parallel version of the standard iterator trait. |
ParallelSlice | Parallel extensions for slices. |
ParallelSliceMut | Parallel extensions for mutable slices. |
ParallelString | Parallel extensions for strings. |
Rng | An automatically-implemented extension trait on |
RngCore | The core of a random number generator. |
SeedableRng | A random number generator that can be explicitly seeded. |
SliceRandom | Extension trait on slices, providing random mutation and sampling methods. |
Functions
random | Generates a random value using the thread-local random number generator. |
thread_rng | Retrieve the lazily-initialized thread-local random number generator,
seeded by the system. Intended to be used in method chaining style,
e.g. |
Type Definitions
Pcg64Mcg | A friendly name for |