"Fast Library for Number Theory"의 두 판 사이의 차이
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===소스=== | ===소스=== | ||
<references /> | <references /> | ||
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+ | ==메타데이터== | ||
+ | ===위키데이터=== | ||
+ | * ID : [https://www.wikidata.org/wiki/Q5436959 Q5436959] | ||
+ | ===Spacy 패턴 목록=== | ||
+ | * [{'LOWER': 'fast'}, {'LOWER': 'library'}, {'LOWER': 'for'}, {'LOWER': 'number'}, {'LEMMA': 'theory'}] | ||
+ | * [{'LEMMA': 'FLINT'}] |
2021년 2월 17일 (수) 00:28 기준 최신판
노트
위키데이터
- ID : Q5436959
말뭉치
- FLINT also has the aim of providing support for multicore and multiprocessor computer architectures, though we do not yet provide this facility.[1]
- FLINT is currently maintained by William Hart of Warwick University in the UK.[1]
- FLINT 2 and following should compile on any machine with GCC and a standard GNU toolchain, however it is specially optimized for x86 (32 and 64 bit) machines.[1]
- As of version 2.0 FLINT required GCC version 2.96 or later, MPIR 2.1.1 or later and MPFR 3.0.0 or later.[1]
- SageMath is an open source mathematics system based on Python, allowing to run R functions, but also providing access to systems like Maxima, GAP, FLINT, and many more math programs.[2]
- We discuss FLINT (Fast Library for Number Theory), a library to support computations in number theory, including highly optimised routines for polynomial arithmetic and linear algebra in exact rings.[3]
- FLINT started life as a pure C, threadsafe, fast version of NTL.[4]
- As a result of our experiences, we outlined the following goals for the FLINT project, which remain its goals today.[4]
- Already a recursive implementation of the FLINT FFT gave a 30% speed up.[4]
- Since the release of FLINT 2 we have been using an integer format (fmpz) which takes a single machine word to hold a small integer.[4]
- FLINT was licensed GPL v2+ up to and including version 2.5.[5]
- In addition, FLINT provides various low-level routines for fast arithmetic.[5]
- FLINT is written in ANSI C and runs on many platforms (including Linux, Mac OS X and Windows on common hardware configurations), but is currently mostly optimised for x86 and x86-64 CPUs.[5]
- FLINT has been used for large scale computations in number theory research (for example: A Trillion Triangles), and is also suited as a general-purpose backend for computer algebra systems.[5]
- At this stage FLINT consists mainly of fast integer and polynomial arithmetic and linear algebra.[6]
- In the future it is planned that FLINT will contain algorithms for algebraic number theory and other number theoretic functionality.[6]
소스
- ↑ 1.0 1.1 1.2 1.3 CiteSeerX — FLINT -- Fast Library for Number Theory
- ↑ CRAN Task View: Numerical Mathematics
- ↑ Mathematical software
- ↑ 4.0 4.1 4.2 4.3 FLINT : Fast library for number theory
- ↑ 5.0 5.1 5.2 5.3 FLINT: Fast Library for Number Theory
- ↑ 6.0 6.1 wbhart/flint2: FLINT (Fast Library for Number Theory)
메타데이터
위키데이터
- ID : Q5436959
Spacy 패턴 목록
- [{'LOWER': 'fast'}, {'LOWER': 'library'}, {'LOWER': 'for'}, {'LOWER': 'number'}, {'LEMMA': 'theory'}]
- [{'LEMMA': 'FLINT'}]