Discrete Distribution Random Number Generators
This section describes VS Discrete Distribution Random Number Generators:
For more complete information about compiler optimizations, see our Optimization Notice.
Notes for Intel® MKL Vector Statistics
- Legal Information
- Introduction
- Randomness and Scientific Experiment
- Random Numbers
- Figures of Merit for Random Number Generators
- VS Structure
- Testing of Basic Random Number Generators
- BRNG Implementations and Categories
- Interpreting Test Results
- BRNG Tests Description
- 3D Spheres Test
- Birthday Spacing Test
- Bitstream Test
- Rank of 31x31 Binary Matrices Test
- Rank of 32x32 Binary Matrices Test
- Rank of 6x8 Binary Matrices Test
- Count-the-1's Test (Stream of Bits)
- Count-the-1's Test (Stream of Specific Bytes)
- Craps Test
- Parking Lot Test
- 2D Self-Avoiding Random Walk Test
- Template Test
- Basic Random Generator Properties and Testing Results
- Testing of Distribution Random Number Generators
- Interpreting Test Results
- Description of Distribution Generator Tests
- Continuous Distribution Random Number Generators
- Discrete Distribution Random Number Generators
- Uniform (VSL_RNG_METHOD_UNIFORM_STD)
- UniformBits (VSL_RNG_METHOD_UNIFORMBITS_STD)
- UniformBits32 (VSL_RNG_METHOD_UNIFORMBITS32_STD)
- UniformBits64 (VSL_RNG_METHOD_UNIFORMBITS64_STD)
- Bernoulli (VSL_RNG_METHOD_BERNOULLI_ICDF)
- Geometric (VSL_RNG_METHOD_GEOMETRIC_ICDF)
- Binomial (VSL_RNG_METHOD_BINOMIAL_BTPE)
- Hypergeometric (VSL_RNG_METHOD_HYPERGEOMETRIC_H2PE)
- Poisson (VSL_RNG_METHOD_POISSON_PTPE)
- Poisson (VSL_RNG_METHOD_POISSON_POISNORM)
- PoissonV (VSL_RNG_METHOD_POISSONV_POISNORM)
- NegBinomial (VSL_RNG_METHOD_NEGBINOMIAL_NBAR)
- Bibliography
