 julia 1.10.10Chapter 27 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical com- puting already written in C and Fortran. To allow easy use the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high performance using the Xoshiro256++ algorithm0 码力 | 1692 页 | 6.34 MB | 3 月前3 julia 1.10.10Chapter 27 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical com- puting already written in C and Fortran. To allow easy use the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high performance using the Xoshiro256++ algorithm0 码力 | 1692 页 | 6.34 MB | 3 月前3
 Julia 1.10.9Chapter 27 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical com- puting already written in C and Fortran. To allow easy use the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high performance using the Xoshiro256++ algorithm0 码力 | 1692 页 | 6.34 MB | 3 月前3 Julia 1.10.9Chapter 27 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical com- puting already written in C and Fortran. To allow easy use the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high performance using the Xoshiro256++ algorithm0 码力 | 1692 页 | 6.34 MB | 3 月前3
 Julia 1.8.0 DEV DocumentationChapter 27 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical computing already written in C and Fortran. To allow easy use of the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high per- formance using the Xoshiro256++0 码力 | 1463 页 | 5.01 MB | 1 年前3 Julia 1.8.0 DEV DocumentationChapter 27 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical computing already written in C and Fortran. To allow easy use of the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high per- formance using the Xoshiro256++0 码力 | 1463 页 | 5.01 MB | 1 年前3
 Julia 1.11.4Chapter 28 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical com- puting already written in C and Fortran. To allow easy use the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high performance using the Xoshiro256++ algorithm0 码力 | 2007 页 | 6.73 MB | 3 月前3 Julia 1.11.4Chapter 28 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical com- puting already written in C and Fortran. To allow easy use the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high performance using the Xoshiro256++ algorithm0 码力 | 2007 页 | 6.73 MB | 3 月前3
 Julia 1.11.5 DocumentationChapter 28 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical com- puting already written in C and Fortran. To allow easy use the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high performance using the Xoshiro256++ algorithm0 码力 | 2007 页 | 6.73 MB | 3 月前3 Julia 1.11.5 DocumentationChapter 28 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical com- puting already written in C and Fortran. To allow easy use the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high performance using the Xoshiro256++ algorithm0 码力 | 2007 页 | 6.73 MB | 3 月前3
 Julia v1.8.5 DocumentationChapter 27 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical computing already written in C and Fortran. To allow easy use of the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high performance using the Xoshiro256++ algorithm0 码力 | 1565 页 | 5.04 MB | 1 年前3 Julia v1.8.5 DocumentationChapter 27 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical computing already written in C and Fortran. To allow easy use of the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high performance using the Xoshiro256++ algorithm0 码力 | 1565 页 | 5.04 MB | 1 年前3
 Julia v1.9.4 DocumentationChapter 27 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical com- puting already written in C and Fortran. To allow easy use the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high performance using the Xoshiro256++ algorithm0 码力 | 1644 页 | 5.27 MB | 1 年前3 Julia v1.9.4 DocumentationChapter 27 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical com- puting already written in C and Fortran. To allow easy use the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high performance using the Xoshiro256++ algorithm0 码力 | 1644 页 | 5.27 MB | 1 年前3
 Julia 1.8.4 DocumentationChapter 27 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical computing already written in C and Fortran. To allow easy use of the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high performance using the Xoshiro256++ algorithm0 码力 | 1565 页 | 5.04 MB | 1 年前3 Julia 1.8.4 DocumentationChapter 27 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical computing already written in C and Fortran. To allow easy use of the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high performance using the Xoshiro256++ algorithm0 码力 | 1565 页 | 5.04 MB | 1 年前3
 Julia 1.9.0 DEV DocumentationChapter 27 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical com- puting already written in C and Fortran. To allow easy use the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high performance using the Xoshiro256++ algorithm0 码力 | 1633 页 | 5.23 MB | 1 年前3 Julia 1.9.0 DEV DocumentationChapter 27 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical com- puting already written in C and Fortran. To allow easy use the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high performance using the Xoshiro256++ algorithm0 码力 | 1633 页 | 5.23 MB | 1 年前3
 Julia 1.9.3 DocumentationChapter 27 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical com- puting already written in C and Fortran. To allow easy use the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high performance using the Xoshiro256++ algorithm0 码力 | 1644 页 | 5.27 MB | 1 年前3 Julia 1.9.3 DocumentationChapter 27 Calling C and Fortran Code Though most code can be written in Julia, there are many high-quality, mature libraries for numerical com- puting already written in C and Fortran. To allow easy use the other hand, language interoperability is extremely useful: we want to exploit existing high-quality code in other languages from Julia (and vice versa)! The best way to enable this is not a transpiler task, or by RandomDevice (with system randomness) at program start • Xoshiro: generates a high-quality stream of random numbers with a small state vector and high performance using the Xoshiro256++ algorithm0 码力 | 1644 页 | 5.27 MB | 1 年前3
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