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<document xmlns="http://maven.apache.org/changes/1.0.0"
          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
          xsi:schemaLocation="http://maven.apache.org/changes/1.0.0 http://maven.apache.org/xsd/changes-1.0.0.xsd">
  <properties>
    <title>Apache Commons RNG Release Notes</title>
  </properties>
  <body>

    <release version="1.6" date="TBD" description="
New features, updates and bug fixes (requires Java 8).
">
      <action dev="aherbert" type="add" issue="RNG-184">
        New "ArraySampler" to support shuffling primitive and generic arrays with
        sub-range support.
      </action>
      <action dev="aherbert" type="update" issue="RNG-183">
        "InverseTransformParetoSampler": Modified to concentrate samples at the distribution
        lower/upper bounds for extreme shape parameters. Eliminates generation of outlier
        infinite samples and NaN samples under certain conditions. Changes sampling to use
        the RNG nextLong() method in-place of nextDouble().
      </action>
</release>

    <release version="1.5" date="2022-09-10" description="
New features, updates and bug fixes. Adds a commons-rng-bom module. Requires Java 8.
">
      <action dev="aherbert" type="add" issue="RNG-182">
        Add a Bill of Materials (BOM) to aid in dependency management when referencing multiple
        Apache Commons RNG artifacts. The BOM should be used to ensure all imported artifacts are
        compatible.
      </action>
      <action dev="aherbert" type="add" issue="RNG-181">
        LXM family to support SplittableUniformRandomProvider. This allows creating a parallel
        stream of generators which will avoid sequence correlations between instances.
      </action>
      <action dev="aherbert" type="add" issue="RNG-180">
        New "SplittableUniformRandomProvider" interface to allow splitting a RNG into two
        objects, each of which implements the same interface (and can be recursively split
        indefinitely). Add default methods to support parallel stream implementations
        of the UniformRandomProvider stream methods.
      </action>
      <action dev="aherbert" type="add" issue="RNG-179">
        "FastLoadedDiceRollerDiscreteSampler": Distribution sampler that uses the
        Fast Loaded Dice Roller (FLDR) algorithm for exact sampling from a discrete
        probability distribution.
      </action>
      <action dev="aherbert" type="add" issue="RNG-178">
        "JumpableUniformRandomProvider": Add support to generate Java 8 streams of new
        random generator instances using the jump method.
      </action>
      <action dev="aherbert" type="add" issue="RNG-176">
        "UniformRandomProvider": Enhance the interface with default methods. Add range sample
        methods with a lower and upper bound. Add support to generate Java 8 streams of sample
        values. Note: This moves some method implementations from the core module to the
        client-api module. Binary compatibility is supported if the versions of these modules are
        matched. Users of the simple module should ensure the client-api and core modules are
        resolved as matched versions and not mismatched by transitive dependency resolution.
      </action>
      <action dev="aherbert" type="add" issue="RNG-177">
        "sampling": Add samples() method to the API to generate Java 8 streams of sample values.
      </action>
      <action dev="aherbert" type="add" issue="RNG-168">
        New LXM family of random generators. Added implementations of the LXM generators
        included in JDK 17.
      </action>
      <action dev="aherbert" type="add" issue="RNG-174">
        "RandomSource": Improve support for non-zero seeds. Seeding has been changed to specify
        a sub-range of the seed that must not be all zero. Introduces a functional change where
        byte[] seeds generated by RandomSource with a fixed UniformRandomProvider may be
        different. Seeds are now reproducible across calls using an input random source in an
        identical state.
      </action>
      <action dev="aherbert" type="fix" issue="RNG-175">
        "RandomSource.MSWS": createSeed(UniformRandomProvider) to handle a bad RNG.
        This fixes an infinite loop when the RNG output is not suitably random to create a seed.
      </action>
      <action dev="aherbert" type="add" issue="RNG-173">
        "BaseProvider": Add a static method to extend input int[] and long[] seeds to a
        minimum length.
      </action>
      <action dev="aherbert" type="update" issue="RNG-171">
        Reduce the memory footprint of the cached boolean and int source for the IntProvider
        and LongProvider. This change has a performance improvement on some JDKs.
        Note: This introduces a functional compatibility change to the output from the
        nextInt method of any LongProvider; the output is now little-endian as
        each long is returned as the low 32-bits then the high 32-bits.
        The bit output from nextBoolean is unchanged (little-endian order).
      </action>
      <action dev="aherbert" type="update" issue="RNG-172">
        "UniformLongSampler": Precompute rejection threshold for a non-power of 2 range.
      </action>
      <action dev="aherbert" type="update" issue="RNG-169">
        "RandomSource.create": Update array seed conversion to use optimum seed length.
        Avoid duplication of input bytes and conversion of bytes that will be discarded.
        This introduces a behavioural change for int[], long[], and int seed conversions.
        Any fixed seeds used in previous versions in byte[], long or the native seed type
        will create the same RNG state. All array-to-array seed conversions now use little
        endian format, matching the byte[] conversion behaviour since 1.0. All seed
        conversions that expand the seed size use the same generation method to provide
        additional bytes. Conversion of int[] to long avoids loss of bits
        changing the possible output seeds from 2^32 to 2^64.
      </action>
      <action dev="aherbert" type="fix" issue="RNG-170">
        Update implementations of "UniformRandomProvider.nextBytes" with a range
        [start, start + length) to be consistent with the exception conditions of the
        JDK array range checks.
      </action>
      <action dev="aherbert" type="add" issue="RNG-167">
        New "TSampler" class to sample from Student's t-distribution.
      </action>
      <action dev="aherbert" type="fix" issue="RNG-166">
        Update "LogNormalSampler" and "BoxMullerLogNormalSampler" to allow a negative mean for
        the natural logarithm of the distribution values.
      </action>
      <action dev="aherbert" type="fix" issue="RNG-165">
        "RejectionInversionZipfSampler": Allow a zero exponent in the Zipf sampler.
      </action>
      <action dev="aherbert" type="update" issue="RNG-160">
        "ZigguratSampler": Performance improvement using ternary operator to sort values.
      </action>
</release>

    <release version="1.4" date="2021-09-13" description="
New features, updates and bug fixes. Updates the minimum Java version to 8.
">
      <action dev="aherbert" type="update" issue="RNG-163">
        Update test suite to JUnit 5.
      </action>
      <action dev="aherbert" due-to="Arturo Bernal" type="update">
        Simplify assertions with simpler equivalent.
      </action>
      <action dev="aherbert" type="update" issue="RNG-162">
        Update the minimum Java version to 1.8.
      </action>
      <action dev="aherbert" type="update" issue="RNG-160">
        "ZigguratSampler.NormalizedGaussian": Performance improvement by extracting ziggurat
        edge sampling to a separate method.
      </action>
      <action dev="aherbert" type="fix" issue="RNG-159">
        "ZigguratSampler.NormalizedGaussian": Corrected biased sampling within convex regions
        at the edge of the ziggurat.
      </action>
      <action dev="aherbert" type="add" issue="RNG-156">
        New "DirichletSampler" class to sample from a Dirichlet distribution.
      </action>
      <action dev="aherbert" type="update" issue="RNG-157">
        "UnitSphereSampler": Deprecate public constructor. Use the factory constructor to create
        an optimal sampler.
      </action>
      <action dev="aherbert" type="add" issue="RNG-137">
        New "StableSampler" class to sample from a stable distribution.
      </action>
      <action dev="aherbert" type="add" issue="RNG-138">
        New "CompositeSamplers" class to sample from a weighted combination of samplers.
      </action>
      <action dev="aherbert" type="add" issue="RNG-140">
        New "LongSampler" interface for sampling a long. New "UniformLongSampler" to sample
        from a range.
      </action>
      <action dev="aherbert" type="update" issue="RNG-155">
        "ZigguratNormalizedGaussianSampler": Update to a table size of 256.
      </action>
      <action dev="aherbert" type="update" issue="RNG-152">
        Update samplers to use ZigguratSampler.NormalizedGaussian for Gaussian deviates.
      </action>
      <action dev="aherbert" type="fix" issue="RNG-146">
        "GaussianSampler": Prevent infinite mean and standard deviation.
      </action>
      <action dev="aherbert" type="update" issue="RNG-154">
        Update Gaussian samplers to avoid infinity in the tails of the distribution. Applies
        to: ZigguratNormalisedGaussianSampler; BoxMullerNormalizedGaussianSampler; and
        BoxMullerGaussianSampler.
      </action>
      <action dev="aherbert" type="update" issue="RNG-153">
        "UnitBallSampler": Update to use the ZigguratSampler for an exponential deviate for
        ball point picking.
      </action>
      <action dev="aherbert" type="update" issue="RNG-150">
        Update "LargeMeanPoissonSampler" and "GeometricSampler" to use the ZigguratSampler for
        exponential deviates.
      </action>
      <action dev="aherbert" type="add" issue="RNG-151">
         New "ZigguratSampler" implementation of the modified "Ziggurat" algorithm for
         Gaussian and exponential sampling.
      </action>
      <action dev="aherbert" type="add" issue="RNG-147">
         New "LevySampler" to sample from a Levy distribution.
      </action>
      <action dev="aherbert" type="add" issue="RNG-145">
        "ContinuousUniformSampler": Add optional support for an open interval: (lower, upper).
      </action>
      <action dev="aherbert" type="fix" issue="RNG-144">
        "AhrensDieterExponentialSampler": Avoid possible infinite loop during sampling if the
        underlying UniformRandomProvider creates a zero for the uniform deviate.
      </action>
      <action dev="aherbert" type="add" issue="RNG-143">
        "RandomSource": Add an instance create method. Deprecate the static create method.
      </action>
      <action dev="aherbert" type="add" issue="RNG-136">
        New "ObjectSampler&lt;T&gt;" and "SharedStateObjectSampler&lt;T&gt;" interfaces.
        These interfaces are implemented by samplers returning an object.
        This changes the functional compatibility of existing samplers that implement
        SharedStatedSampler&lt;R&gt;: CollectionSampler&lt;T&gt;; CombinationSampler;
        DiscreteProbabilityCollectionSampler&lt;T&gt;; PermutationSampler; and UnitSphereSampler.
        The method signature of the SharedStateSampler&lt;R&gt; interface remains
        'public R withUniformRandomProvider(UniformRandomProvider)'. The result can still be
        assigned to an instance of the same class R; it can no longer be assigned to an instance of
        SharedStatedSampler&lt;R&gt;. It can now be assigned to SharedStateObjectSampler&lt;T&gt;
        which can be used to generate samples of type &lt;T&gt;.
        Code that assigned to SharedStatedSampler&lt;R&gt; should be updated.
      </action>
      <action dev="aherbert" type="add" issue="RNG-135">
        New "TetrahedronSampler" to sample uniformly from a tetrahedron.
      </action>
      <action dev="aherbert" type="add" issue="RNG-134">
        New "BoxSampler" to sample uniformly from a box (or hyperrectangle).
      </action>
      <action dev="aherbert" type="add" issue="RNG-133">
        New "LineSampler" to sample uniformly on a line segment.
      </action>
      <action dev="aherbert" type="add" issue="RNG-131">
        New "TriangleSampler" to sample uniformly from a triangle.
      </action>
      <action dev="aherbert" type="add" issue="RNG-132">
        New "o.a.c.rng.sampling.shape" package for sampling coordinates from shapes.
      </action>
      <action dev="aherbert" type="fix" issue="RNG-130">
        "UnitSphereSampler": Fix 1 dimension sampling to only return vectors containing 1 or -1.
      </action>
      <action dev="aherbert" type="update" issue="RNG-129">
        "UnitSphereSampler": Improve performance with specialisations for low order dimensions.
        Added a factory constructor to create the sampler.
      </action>
      <action dev="aherbert" type="add" issue="RNG-128">
        New "UnitBallSampler" to generate coordinates uniformly within an n-unit ball.
      </action>
      <action dev="aherbert" type="add" issue="RNG-126">
        "PoissonSamplerCache": Method to return a SharedStateDiscreteSampler.
      </action>
      <action dev="aherbert" type="add" issue="RNG-124">
        Add fixed increment versions of the PCG generators.
      </action>
    </release>

    <release version="1.3" date="2019-11-08" description="
New features, updates and bug fixes (requires Java 6).
">
      <action dev="aherbert" type="update" issue="RNG-122">
        "SeedFactory": Use XoRoShiRo1024PlusPlus as the default source of randomness.
      </action>
      <action dev="aherbert" type="update" issue="RNG-121">
        "ChengBetaSampler": Algorithms for different distribution parameters have
        been delegated to specialised classes.
      </action>
      <action dev="aherbert" type="update" issue="RNG-120">
        Update security of serialization code for java.util.Random instances. Implement
        look-ahead deserialization or remove the use of ObjectInputStream.readObject().
      </action>
      <action dev="aherbert" type="update" issue="RNG-76">
        "SplitMix64": Added primitive long constructor.
      </action>
      <action dev="aherbert" type="add" issue="RNG-117">
        Additional "XorShiRo" family generators. This adds 4 PlusPlus general purpose variants
        of existing generators and 3 variants of a large state (1024-bit) generator.
      </action>
      <action dev="aherbert" type="update" issue="RNG-119">
        Add LongJumpable support to XoShiRo generators previously only supporting Jumpable.
      </action>
      <action dev="aherbert" type="add" issue="RNG-117">
        "RandomSource": Support creating a byte[] seed suitable for the implementing
        generator class.
      </action>
      <action dev="aherbert" type="add" issue="RNG-116">
        "RandomSource": Expose interfaces supported by the implementing generator class
        with methods isJumpable() and isLongJumpable().
      </action>
      <action dev="aherbert" type="add" issue="RNG-111">
        New "JenkinsSmallFast32" and "JenkinsSmallFast64" generators.
      </action>
      <action dev="aherbert" type="update" issue="RNG-114">
        "ListSampler": Select the shuffle algorithm based on the list type. This improves
        performance for non-RandomAccess lists such as LinkedList.
      </action>
      <action dev="aherbert" type="add" issue="RNG-19">
        "JDKRandomWrapper": Wraps an instance of java.util.Random for use as a
        UniformRandomProvider. Can wrap a SecureRandom to use functionality
        provided by the JDK for cryptographic random numbers and platform dependent
        features such as reading /dev/urandom on Linux.
      </action>
      <action dev="aherbert" type="fix" issue="RNG-115">
        "JDKRandom": Fixed the restore state method to function when the instance has not
        previously been used to save state.
      </action>
      <action dev="aherbert" type="add" issue="RNG-112">
        New "DotyHumphreySmallFastCounting32" and "DotyHumphreySmallFastCounting64" generators.
      </action>
      <action dev="aherbert" type="update" issue="RNG-109">
        "DiscreteProbabilityCollectionSampler": Use a faster enumerated probability
        distribution sampler to replace the binary search algorithm.
      </action>
      <action dev="aherbert" type="add" issue="RNG-85">
        New "MiddleSquareWeylSequence" generator.
      </action>
      <action dev="aherbert" type="update" issue="RNG-90">
        "BaseProvider": Updated to use faster algorithm for nextInt(int).
      </action>
      <action dev="aherbert" type="update" issue="RNG-95">
        "DiscreteUniformSampler": Updated to use faster algorithms for generation of ranges.
      </action>
      <action dev="aherbert" type="add" issue="RNG-110">
        Factory methods for Discrete and Continuous distribution samplers. The factory method
        can choose the optimal implementation for the distribution parameters.
      </action>
      <action dev="aherbert" type="add" issue="RNG-84" due-to="Abhishek Singh Dhadwal">
        New Permuted Congruential Generators (PCG) from the PCG family.
        Added the LCG and MCG 32 bit output versions of the XSH-RS and XSH-RR operations,
        along with the 64 bit RXS-M-XS edition.
      </action>
      <action dev="aherbert" type="add" issue="RNG-102">
        New "SharedStateSampler" interface to allow a sampler to create a new instance with
        a new source of randomness. Any pre-computed state can be shared between the samplers.
      </action>
      <action dev="aherbert" type="add" issue="RNG-108">
        Update "SeedFactory" to improve performance.
      </action>
      <action dev="aherbert" type="add" issue="RNG-99">
        New "AliasMethodDiscreteSampler" that can sample from any discrete distribution defined
        by an array of probabilities. Set-up is O(n) time and sampling is O(1) time.
      </action>
      <action dev="aherbert" type="add" issue="RNG-100">
        New "GuideTableDiscreteSampler" that can sample from any discrete distribution defined
        by an array of probabilities.
      </action>
      <action dev="aherbert" type="update" issue="RNG-106">
        Ensure SeedFactory produces non-zero seed arrays. This avoids invalid seeding of
        generators that cannot recover from a seed of zeros.
      </action>
      <action dev="aherbert" type="add" issue="RNG-98">
        New "LongJumpableUniformRandomProvider" interface extends JumpableUniformRandomProvider
        with a long jump method.
      </action>
      <action dev="aherbert" type="add" issue="RNG-97">
        New "JumpableUniformRandomProvider" interface provides a jump method that advances
        the generator a large number of steps of the output sequence in a single operation. A
        copy is returned allowing repeat invocations to create a series of generators
        for use in parallel computations.
      </action>
      <action dev="aherbert" type="update" issue="RNG-103">
        "LargeMeanPoissonSampler: Switch from SmallMeanPoissonSampler to use
        KempSmallMeanPoissonSampler for the fractional mean sample.
      </action>
      <action dev="aherbert" type="update" issue="RNG-75">
        "RandomSource.create(...)": Refactor internal components to allow custom seeding routines
        per random source. Improvements were made to the speed of creating generators with small
        seeds.
      </action>
      <action dev="aherbert" type="update" issue="RNG-77">
        "NumberFactory": Improve performance of int and long array to/from byte array
        conversions.
      </action>
      <action dev="aherbert" type="add" issue="RNG-101">
        New "MarsagliaTsangWangDiscreteSampler" that provides samples from a discrete
        distribution stored as a look-up table using a single random integer deviate. Computes
        tables for the Poisson or Binomial distributions, and generically any provided discrete
        probability distribution.
      </action>
      <action dev="aherbert" type="fix" issue="RNG-96">
        "AhrensDieterMarsagliaTsangGammaSampler": Fix parameter interpretation so that alpha
        is a 'shape' parameter and theta is a 'scale' parameter. This reverses the functionality
        of the constructor parameters from previous versions. Dependent code should be checked
        and parameters reversed to ensure existing functionality is maintained.
      </action>
      <action dev="aherbert" type="add" issue="RNG-91">
        New "KempSmallMeanPoissonSampler" that provides Poisson samples using only 1 random
        deviate per sample. This algorithm outperforms the SmallMeanPoissonSampler
        when the generator is slow.
      </action>
      <action dev="aherbert" type="fix" issue="RNG-93">
        "SmallMeanPoissonSampler": Requires the Poisson probability for p(x=0) to be positive
        setting an upper bound on the mean of approximately 744.44.
      </action>
      <action dev="aherbert" type="fix" issue="RNG-92">
        "LargeMeanPoissonSampler": Requires mean >= 1.
      </action>
      <action dev="aherbert" type="add" issue="RNG-70">
        New "XorShiRo" family of generators. This adds 6 new general purpose generators with
        different periods and 4 related generators with improved performance for floating-point
        generation.
      </action>
      <action dev="aherbert" type="update" issue="RNG-88">
        Update the generation performance JMH benchmarks to have a reference baseline.
      </action>
      <action dev="aherbert" type="update" issue="RNG-87">
        "MultiplyWithCarry256": Performance improvement by advancing state one step per sample.
      </action>
      <action dev="aherbert" type="add" issue="RNG-82">
        New "XorShift1024StarPhi" generator. This is a modified implementation of
        XorShift1024Star that improves randomness of the output sequence. The XOR_SHIFT_1024_S
        enum has been marked deprecated as a note to users to switch to the new
        XOR_SHIFT_1024_S_PHI version.
      </action>
      <action dev="aherbert" type="add" issue="RNG-78">
        New "ThreadLocalRandomSource" class provides thread safe access to random generators.
      </action>
      <action dev="aherbert" type="update" issue="RNG-81">
        "NumberFactory": Evenly sample all dyadic rationals between 0 and 1.
      </action>
      <action dev="aherbert" type="add" issue="RNG-79">
        Benchmark methods for producing nextDouble and nextFloat.
      </action>
      <action dev="aherbert" type="update" issue="RNG-73">
        Add the methods used from UniformRandomProvider to each sampler in the sampling module.
      </action>
      <action dev="aherbert" type="update" issue="RNG-74">
        "DiscreteUniformSampler": Algorithms for small and large integer ranges have
        been delegated to specialised classes.
      </action>
      <action dev="aherbert" type="add" issue="RNG-72">
        Add new JMH benchmark ConstructionPerformance.
      </action>
      <action dev="aherbert" type="add" issue="RNG-71">
        Validate parameters for the distribution samplers.
      </action>
      <action dev="aherbert" type="update" issue="RNG-68">
        "AhrensDieterMarsagliaTsangGammaSampler": Algorithms for small and large theta have
        been delegated to specialised classes.
      </action>
      <action dev="aherbert" type="add" issue="RNG-67">
        Instructions for how to build and run the examples-stress code.
      </action>
      <action dev="aherbert" type="add" issue="RNG-69">
        New "GeometricSampler" class.
      </action>
    </release>

    <release version="1.2" date="2018-12-12" description="
New features, updates and bug fixes (requires Java 6).
">
      <action dev="erans" type="update" issue="RNG-63">
        "NumberFactory": Some methods have become obsolete following RNG-57.
      </action>
      <action dev="erans" type="update" issue="RNG-64" due-to="Alex D. Herbert">
        "PermutationSampler" and "CombinationSampler" shared code moved to a utility class.
      </action>
      <action dev="erans" type="add" issue="RNG-62" due-to="Alex D. Herbert">
        New "CombinationSampler" class.
      </action>
      <action dev="erans" type="update" issue="RNG-61" due-to="Alex D. Herbert">
        "PermutationSampler": Performance improvement.
      </action>
      <action dev="erans" type="update" issue="RNG-57" due-to="Alex D. Herbert">
        Cache for using up all the bits provided by the underlying source of randomness.
      </action>
      <action dev="erans" type="update" issue="RNG-60">
        Use random seeds for unit testing.
      </action>
      <action dev="erans" type="update" issue="RNG-52">
        Set conservative upper bound in "LargePoissonSampler" to avoid truncation.
      </action>
      <action dev="erans" type="fix" issue="RNG-59">
        Use JDK's "SecureRandom" to seed the "SeedFactory".
      </action>
      <action dev="erans" type="update" issue="RNG-58">
        Allow part of RNG state to be contained in base classes, e.g. to enable
        caching in common code (see RNG-57).
      </action>
      <action dev="erans" type="update" issue="RNG-51" due-to="Alex D. Herbert">
        "PoissonSampler": Performance improvement.
      </action>
      <action dev="erans" type="fix" issue="RNG-56">
        "ZigguratNormalizedGaussianSampler": Missing statements in least used branch.
      </action>
      <action dev="erans" type="fix" issue="RNG-55" due-to="Alex D. Herbert">
        "UnitSphereSampler": Prevent returning NaN components and forbid
        negative dimension.
      </action>
    </release>

    <release version="1.1" date="2018-08-14" description="
New features, updates and bug fixes (requires Java 6).
">
      <action dev="erans" type="fix" issue="RNG-53">
        Class "SamplerBase" has been deprecated.  It was meant for internal use
        only but, through inheritance, it allows incorrect usage of the sampler
        classes.
      </action>
      <action dev="erans" type="update" issue="RNG-50" due-to="Alex D. Herbert">
        "PoissonSampler": Algorithms for small mean and large mean have
        been separated into dedicated classes.  Cache precomputation has
        been disabled as it is only marginally used and is a performance
        hit for small sampling sets.
      </action>
      <action dev="erans" type="add" issue="RNG-37">
        Implementation of the "Ziggurat" algorithm for Gaussian sampling.
      </action>
      <action dev="erans" type="update" issue="RNG-42">
        Use "ZigguratNormalizedGaussianSampler" within the library.
      </action>
      <action dev="erans" type="add" issue="RNG-47">
        "DiscreteProbabilityCollectionSampler": Sampling from a collection of items
        with user-defined probabilities (feature ported from "Commons Math").
      </action>
      <action dev="erans" type="add" issue="RNG-43">
        "LogNormalSampler" with user-defined underlying "NormalizedGaussianSampler".
      </action>
      <action dev="erans" type="update" issue="RNG-46">
        Following RNG-43, "BoxMullerLogNormalSampler" has been deprecated.
      </action>
      <action dev="erans" type="add" issue="RNG-39">
        "UnitSphereSampler": generate random vectors isotropically located
        on the surface of a sphere (feature ported from "Commons Math").
      </action>
      <action dev="erans" type="add" issue="RNG-36">
        "MarsagliaNormalizedGaussianSampler": Faster variation of the
        Box-Muller algorithm.
        This version is used within "AhrensDieterMarsagliaTsangGammaSampler"
        "MarsagliaLogNormalSampler" and "PoissonSampler" (generated sequences
        will thus differ from those generated by version 1.0 of the library).
      </action>
      <action dev="erans" type="add" issue="RNG-35">
        New generic "GaussianSampler" based on "NormalizedGaussianSampler"
        marker interface.
        Implementation of "BoxMullerNormalizedGaussianSampler" deprecates
        "BoxMullerGaussianSampler".
      </action>
    </release>

    <release version="1.0" date="2016-12-13" description="
This is the first release of Apache Commons RNG.

Contains the following modules:
  commons-rng-client-api;
  commons-rng-core;
  commons-rng-simple;
  commons-rng-sampling.

Requires Java 6.
">
    </release>


  </body>
</document>