微积分:R中的高维数值和符号微积分

IF 5.4 2区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Statistical Software Pub Date : 2020-12-31 DOI:10.18637/jss.v104.i05
E. Guidotti
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引用次数: 5

摘要

R包微积分实现了对数值和符号微积分的c++优化函数,如爱因斯坦求和约定、列维-西维塔符号和广义Kronecker delta的快速计算、泰勒级数展开、多元埃尔米特多项式、高阶导数、常微分方程、微分算子和任意正交坐标系下的数值积分。该库在处理R函数时应用数值方法,在处理字符或表达式时应用符号编程。该包处理任意维度和坐标的多变量数值演算,并尽可能实现数值方法的符号对应,而不依赖于外部计算机代数系统。除了Rcpp之外,这个包没有严格的依赖关系,以便提供一个稳定的自包含工具箱,可以重用。
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calculus: High Dimensional Numerical and Symbolic Calculus in R
The R package calculus implements C++ optimized functions for numerical and symbolic calculus, such as the Einstein summing convention, fast computation of the Levi-Civita symbol and generalized Kronecker delta, Taylor series expansion, multivariate Hermite polynomials, high-order derivatives, ordinary differential equations, differential operators and numerical integration in arbitrary orthogonal coordinate systems. The library applies numerical methods when working with R functions or symbolic programming when working with characters or expressions. The package handles multivariate numerical calculus in arbitrary dimensions and coordinates and implements the symbolic counterpart of the numerical methods whenever possible, without depending on external computer algebra systems. Except for Rcpp, the package has no strict dependencies in order to provide a stable self-contained toolbox that invites re-use.
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来源期刊
Journal of Statistical Software
Journal of Statistical Software 工程技术-计算机:跨学科应用
CiteScore
10.70
自引率
1.70%
发文量
40
审稿时长
6-12 weeks
期刊介绍: The Journal of Statistical Software (JSS) publishes open-source software and corresponding reproducible articles discussing all aspects of the design, implementation, documentation, application, evaluation, comparison, maintainance and distribution of software dedicated to improvement of state-of-the-art in statistical computing in all areas of empirical research. Open-source code and articles are jointly reviewed and published in this journal and should be accessible to a broad community of practitioners, teachers, and researchers in the field of statistics.
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