重力研究中的计算机代数

IF 26.3 2区物理与天体物理 Q1 PHYSICS, PARTICLES & FIELDS

Living Reviews in Relativity Pub Date : 2018-08-20 DOI:10.1007/s41114-018-0015-6

Malcolm A. H. MacCallum

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引用次数: 28

摘要

广义相对论中计算的复杂性是计算机代数(CA)早期发展的驱动力之一。CA在重力研究中得到了广泛的应用，其应用前景广阔。这里讨论了计算机代数的一般性质，以及CA系统设计的一些方面;考虑到GR要求的特殊特征;提供了GR中用于CA的包的信息，包括当前可用的包和它们的前身;概述了CA在GR中的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Computer algebra in gravity research

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Computer algebra in gravity research

The complicated nature of calculations in general relativity was one of the driving forces in the early development of computer algebra (CA). CA has become widely used in gravity research (GR) and its use can be expected to grow further. Here the general nature of computer algebra is discussed, along with some aspects of CA system design; features particular to GR’s requirements are considered; information on packages for CA in GR is provided, both for those packages currently available and for their predecessors; and applications of CA in GR are outlined.

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来源期刊

Living Reviews in Relativity 物理-物理：粒子与场物理

CiteScore

69.90

自引率

0.70%

发文量

审稿时长

20 weeks

期刊介绍： Living Reviews in Relativity is a peer-reviewed, platinum open-access journal that publishes reviews of research across all areas of relativity. Directed towards the scientific community at or above the graduate-student level, articles are solicited from leading authorities and provide critical assessments of current research. They offer annotated insights into key literature and describe available resources, maintaining an up-to-date suite of high-quality reviews, thus embodying the "living" aspect of the journal's title. Serving as a valuable tool for the scientific community, Living Reviews in Relativity is often the first stop for researchers seeking information on current work in relativity. Written by experts, the reviews cite, explain, and assess the most relevant resources in a given field, evaluating existing work and suggesting areas for further research. Attracting readers from the entire relativity community, the journal is useful for graduate students conducting literature surveys, researchers seeking the latest results in unfamiliar fields, and lecturers in need of information and visual materials for presentations at all levels.