Subject Index

• 2D FFT: 2D FFT
• 3D FFT: 3D FFT
• accessing ACML (Compaq Visual Fortran under 32-bit Windows): Linking/Windows
• accessing ACML (GNU g77/gcc under 32-bit Windows): Linking/Windows
• accessing ACML (GNU g77/gcc under Linux): Linking/Linux
• accessing ACML (GNU gfortran/gcc under Linux): Linking/Linux
• accessing ACML (Intel Fortran/Microsoft C under 32-bit Windows): Linking/Windows
• accessing ACML (Intel Fortran/Microsoft C under 64-bit Windows): Linking/Windows
• accessing ACML (Intel ifort under Linux): Linking/Linux
• accessing ACML (Linux): Linking/Linux
• accessing ACML (NAGware f95 compiler under Linux): Linking/Linux
• accessing ACML (other compilers under Linux): Linking/Linux
• accessing ACML (PathScale pathf90/pathcc under Linux): Linking/Linux
• accessing ACML (PGI pgf77/pgf90/Microsoft C under 32-bit Windows): Linking/Windows
• accessing ACML (PGI pgf77/pgf90/pgcc or Microsoft C under 64-bit Windows): Linking/Windows
• accessing ACML (PGI pgf77/pgf90/pgcc under Linux): Linking/Linux
• accessing ACML (Salford ftn95 under 32-bit Windows): Linking/Windows
• accessing ACML (Solaris): Linking/Solaris
• accessing ACML (Sun f95/cc under Solaris): Linking/Solaris
• accessing ACML under Windows: Linking/Windows
• accessing the base generators: Calling the Base Generators
• ACML C Interfaces: Interfaces
• ACML FORTRAN interfaces: Interfaces
• ACML installation test: Examples
• ACML performance examples: Performance Examples
• ACML version information: Version
• ACML_MV (ACML vector math functions): MV Intro
• ACML_MV types: MV Intro
• base generator: Base Generators
• base generator, basic NAG generator: Basic NAG Generator
• base generator, blum-blum-shub: Blum-Blum-Shub Generator
• base generator, calling: Calling the Base Generators
• base generator, definition: RNGs
• base generator, initialization: Initialization of the Base Generators
• base generator, L'Ecuyer's combined recursive generator: L'Ecuyer's Combined Recursive Generator
• base generator, Mersenne twister: Mersenne Twister
• base generator, recommendation: Base Generators
• base generator, user supplied: User Supplied Generators
• base generator, Wichmann-Hill: Wichmann-Hill Generator
• basic NAG base generator: Basic NAG Generator
• beta distribution: DRANDBETA
• binomial distribution: DRANDBINOMIAL
• binomial distribution, using reference vector: DRANDBINOMIALREFERENCE
• BLAS: BLAS
• blum-blum-shub generator: Blum-Blum-Shub Generator
• BRNG, definition: RNGs
• C interfaces in ACML: Interfaces
• calling the base generators: Calling the Base Generators
• cauchy distribution: DRANDCAUCHY
• chi-squared distribution: DRANDCHISQUARED
• complex FFT: DFT Complex
• continuous multivariate distribution, gaussian: DRANDMULTINORMAL
• continuous multivariate distribution, gaussian, using reference vector: DRANDMULTINORMALR
• continuous multivariate distribution, normal: DRANDMULTINORMAL
• continuous multivariate distribution, normal, using reference vector: DRANDMULTINORMALR
• continuous multivariate distribution, students t: DRANDMULTISTUDENTST
• continuous multivariate distribution, students t, using reference vector: DRANDMULTISTUDENTSTR
• continuous univariate distribution, beta: DRANDBETA
• continuous univariate distribution, cauchy: DRANDCAUCHY
• continuous univariate distribution, chi-squared: DRANDCHISQUARED
• continuous univariate distribution, exponential: DRANDEXPONENTIAL
• continuous univariate distribution, f: DRANDF
• continuous univariate distribution, fisher's variance ratio distribution: DRANDF
• continuous univariate distribution, gamma: DRANDGAMMA
• continuous univariate distribution, gaussian: DRANDGAUSSIAN
• continuous univariate distribution, logistic: DRANDLOGISTIC
• continuous univariate distribution, lognormal: DRANDLOGNORMAL
• continuous univariate distribution, normal: DRANDGAUSSIAN
• continuous univariate distribution, students t: DRANDSTUDENTST
• continuous univariate distribution, t: DRANDSTUDENTST
• continuous univariate distribution, triangular: DRANDTRIANGULAR
• continuous univariate distribution, uniform: DRANDUNIFORM
• continuous univariate distribution, von mises: DRANDVONMISES
• continuous univariate distribution, weibull: DRANDWEIBULL
• copying a generator: Initialization of the Base Generators
• cryptologically secure, definition: RNGs
• cryptologically secure, generator: Blum-Blum-Shub Generator
• determining the best ACML version for your system: BestLibrary
• discrete multivariate distribution, multinomial: DRANDMULTINOMIAL
• discrete univariate distribution, binomial: DRANDBINOMIAL
• discrete univariate distribution, binomial, using reference vector: DRANDBINOMIALREFERENCE
• discrete univariate distribution, geometric: DRANDGEOMETRIC
• discrete univariate distribution, geometric, using reference vector: DRANDGEOMETRICREFERENCE
• discrete univariate distribution, hypergeometric: DRANDHYPERGEOMETRIC
• discrete univariate distribution, hypergeometric, using reference vector: DRANDHYPERGEOMETRICREFERENCE
• discrete univariate distribution, negative binomial: DRANDNEGATIVEBINOMIAL
• discrete univariate distribution, negative binomial, using reference vector: DRANDNEGATIVEBINOMIALREFERENCE
• discrete univariate distribution, poisson: DRANDPOISSON
• discrete univariate distribution, poisson, using reference vector: DRANDPOISSONREFERENCE
• discrete univariate distribution, uniform: DRANDDISCRETEUNIFORM
• distribution generator, definition: RNGs
• example programs: Examples
• exponential distribution: DRANDEXPONENTIAL
• f distribution: DRANDF
• fast basic math functions: Simple
• Fast Fourier Transforms: FFTs
• feedback shift generator: Mersenne Twister
• FFT: FFTs
• FFT efficiency: Efficiency
• FFT of multiple complex sequences: Multi-1D FFT
• FFT of multiple Hermitian sequences: Multi-1D Hermitian FFT
• FFT of multiple real sequences: Multi-1D Real FFT
• FFT of single complex sequence: 1D FFT
• FFT of single Hermitian sequence: 1D Hermitian FFT
• FFT of single real sequence: 1D Real FFT
• FFT plan: Plans
• fisher's variance ratio distribution: DRANDF
• FORTRAN interfaces in ACML: Interfaces
• gamma distribution: DRANDGAMMA
• gaussian distribution (multivariate): DRANDMULTINORMAL
• gaussian distribution (univariate): DRANDGAUSSIAN
• gaussian distribution, multivariate, using reference vector: DRANDMULTINORMALR
• general information: General
• generalized feedback shift generator: Mersenne Twister
• generating discrete variates from a reference vector: DRANDGENERALDISCRETE
• geometric distribution: DRANDGEOMETRIC
• geometric distribution, using reference vector: DRANDGEOMETRICREFERENCE
• Hermitian data sequences (FFT): Real FFT Routines
• hypergeometric distribution: DRANDHYPERGEOMETRIC
• hypergeometric distribution, using reference vector: DRANDHYPERGEOMETRICREFERENCE
• IEEE exceptions and LAPACK: LAPACK-IEEE
• initialization of a generator: Initialization of the Base Generators
• installation test: Examples
• INTEGER*8 arguments: Integer sizes
• introduction: Intro
• L'Ecuyer's combined recursive generator: L'Ecuyer's Combined Recursive Generator
• language interfaces: Interfaces
• LAPACK: LAPACK
• LAPACK blocking factors: ILAENV-ILAENVSET
• LAPACK reference sources: LAPACK-references
• libm names: MV Intro
• library manual: Docs
• library version information: Version
• linear congruential generator, basic NAG generator: Basic NAG Generator
• linear congruential generator, Wichmann-Hill: Wichmann-Hill Generator
• linking with ACML: General
• linking with Linux ACML: Linking/Linux
• linking with Solaris ACML: Linking/Solaris
• linking with Windows ACML: Linking/Windows
• logistic distribution: DRANDLOGISTIC
• lognormal distribution: DRANDLOGNORMAL
• Mersenne twister: Mersenne Twister
• Mersenne twister, multiple streams: Using Different Seeds
• multinomial distribution: DRANDMULTINOMIAL
• multiple recursive generator, L'Ecuyer's combined recursive generator: L'Ecuyer's Combined Recursive Generator
• multiple streams: Multiple Streams
• multiple streams, block splitting: Skip Ahead
• multiple streams, L'Ecuyer's combined recursive generator: Leap Frogging
• multiple streams, L'Ecuyer's combined recursive generator: Skip Ahead
• multiple streams, leap frogging: Leap Frogging
• multiple streams, Mersenne twister: Using Different Seeds
• multiple streams, NAG basic generator: Leap Frogging
• multiple streams, NAG basic generator: Skip Ahead
• multiple streams, skip ahead: Skip Ahead
• multiple streams, using different generators: Using Different Generators
• multiple streams, using different seeds: Using Different Seeds
• multiple streams, Wichmann-Hill generator: Leap Frogging
• multiple streams, Wichmann-Hill generator: Skip Ahead
• multiple streams, Wichmann-Hill generator: Using Different Generators
• multivariate distribution, gaussian: DRANDMULTINORMAL
• multivariate distribution, gaussian, using reference vector: DRANDMULTINORMALR
• multivariate distribution, multinomial: DRANDMULTINOMIAL
• multivariate distribution, normal: DRANDMULTINORMAL
• multivariate distribution, normal, using reference vector: DRANDMULTINORMALR
• multivariate distribution, students t: DRANDMULTISTUDENTST
• multivariate distribution, students t, using reference vector: DRANDMULTISTUDENTSTR
• negative binomial distribution: DRANDNEGATIVEBINOMIAL
• negative binomial distribution, using reference vector: DRANDNEGATIVEBINOMIALREFERENCE
• normal distribution (multivariate): DRANDMULTINORMAL
• normal distribution (univariate): DRANDGAUSSIAN
• normal distribution, multivariate, using reference vector: DRANDMULTINORMALR
• performance example programs: Performance Examples
• period of a random number generator, definition: RNGs
• plan, default, FFTs: Plans
• plan, generated, FFTs: Plans
• poisson distribution: DRANDPOISSON
• poisson distribution, using reference vector: DRANDPOISSONREFERENCE
• PRNG, definition: RNGs
• pseudo-random number, definition: RNGs
• QRNG, definition: RNGs
• quasi-random number, definition: RNGs
• random bit stream: Calling the Base Generators
• real data sequences (FFT): Real FFT Routines
• real FFT: Real FFT Routines
• reference vector, binomial distribution: DRANDBINOMIALREFERENCE
• reference vector, gaussian (multivariate): DRANDMULTINORMALREFERENCE
• reference vector, generating discrete variates from: DRANDGENERALDISCRETE
• reference vector, geometric distribution: DRANDGEOMETRICREFERENCE
• reference vector, hypergeometric distribution: DRANDHYPERGEOMETRICREFERENCE
• reference vector, negative binomial distribution: DRANDNEGATIVEBINOMIALREFERENCE
• reference vector, normal (multivariate): DRANDMULTINORMALREFERENCE
• reference vector, poisson distribution: DRANDPOISSONREFERENCE
• reference vector, students t (multivariate): DRANDMULTISTUDENTSTREFERENCE
• retrieving the state of a generator: Initialization of the Base Generators
• saving the state of a generator: Initialization of the Base Generators
• seed, definition: RNGs
• size of integer arguments: Integer sizes
• sparse BLAS: BLAS
• students t distribution: DRANDSTUDENTST
• students t distribution (multivariate): DRANDMULTISTUDENTST
• students t distribution, multivariate, using reference vector: DRANDMULTISTUDENTSTR
• t distribution: DRANDSTUDENTST
• triangular distribution: DRANDTRIANGULAR
• uniform distribution (continuous): DRANDUNIFORM
• uniform distribution (discrete): DRANDDISCRETEUNIFORM
• univariate distribution, beta: DRANDBETA
• univariate distribution, binomial: DRANDBINOMIAL
• univariate distribution, binomial, using reference vector: DRANDBINOMIALREFERENCE
• univariate distribution, cauchy: DRANDCAUCHY
• univariate distribution, chi-squared: DRANDCHISQUARED
• univariate distribution, exponential: DRANDEXPONENTIAL
• univariate distribution, f: DRANDF
• univariate distribution, fisher's variance ratio: DRANDF
• univariate distribution, gamma: DRANDGAUSSIAN
• univariate distribution, gamma: DRANDGAMMA
• univariate distribution, geometric: DRANDGEOMETRIC
• univariate distribution, geometric, using reference vector: DRANDGEOMETRICREFERENCE
• univariate distribution, hypergeometric: DRANDHYPERGEOMETRIC
• univariate distribution, hypergeometric, using reference vector: DRANDHYPERGEOMETRICREFERENCE
• univariate distribution, logistic: DRANDLOGISTIC
• univariate distribution, lognormal: DRANDLOGNORMAL
• univariate distribution, negative binomial: DRANDNEGATIVEBINOMIAL
• univariate distribution, negative binomial, using reference vector: DRANDNEGATIVEBINOMIALREFERENCE
• univariate distribution, normal: DRANDGAUSSIAN
• univariate distribution, poisson: DRANDPOISSON
• univariate distribution, poisson, using reference vector: DRANDPOISSONREFERENCE
• univariate distribution, students t: DRANDSTUDENTST
• univariate distribution, t: DRANDSTUDENTST
• univariate distribution, triangular: DRANDTRIANGULAR
• univariate distribution, uniform (continuous): DRANDUNIFORM
• univariate distribution, uniform (discrete): DRANDDISCRETEUNIFORM
• univariate distribution, von mises: DRANDVONMISES
• univariate distribution, weibull: DRANDWEIBULL
• user supplied generators: User Supplied Generators
• vector math functions: Vector
• von mises distribution: DRANDVONMISES
• weak aliases: MV Intro
• weibull distribution: DRANDWEIBULL
• Wichmann-Hill base generator: Wichmann-Hill Generator
• Wichmann-Hill, multiple streams: Using Different Generators