Module nyx_space::mc

Monte Carlo module

Modules

helpers

Structs

Normal	The normal distribution N(mean, std_dev**2).
StdRng	The standard RNG. The PRNG algorithm in StdRng is chosen to be efficient on the current platform, to be statistically strong and unpredictable (meaning a cryptographically secure PRNG).
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 RngCore or BlockRngCore implementation is supposed to be cryptographically secure.
Distribution	Types (distributions) that can be used to create a random instance of T.
FromParallelIterator	FromParallelIterator implements the creation of a collection from a ParallelIterator. By implementing FromParallelIterator for a given type, you define how it will be created from an iterator.
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	IntoParallelIterator implements the conversion to a ParallelIterator.
IntoParallelRefIterator	IntoParallelRefIterator implements the conversion to a ParallelIterator, providing shared references to the data.
IntoParallelRefMutIterator	IntoParallelRefMutIterator implements the conversion to a ParallelIterator, providing mutable references to the data.
IteratorRandom	Extension trait on iterators, providing random sampling methods.
ParallelBridge	Conversion trait to convert an Iterator to a ParallelIterator.
ParallelDrainFull	ParallelDrainFull creates a parallel iterator that moves all items from a collection while retaining the original capacity.
ParallelDrainRange	ParallelDrainRange creates a parallel iterator that moves a range of items from a collection while retaining the original capacity.
ParallelExtend	ParallelExtend extends an existing collection with items from a ParallelIterator.
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 providing high-level generic methods for sampling values and other convenience methods.
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. thread_rng().gen::<i32>(), or cached locally, e.g. let mut rng = thread_rng();. Invoked by the Default trait, making ThreadRng::default() equivalent.

Type Definitions

Pcg64Mcg

A friendly name for Mcg128Xsl64 (also known as pcg64_fast).