{"title":"An Abstraction-Preserving Block Matrix Implementation in Maple","authors":"David J. Jeffrey, Stephen M. Watt","doi":"arxiv-2408.02112","DOIUrl":null,"url":null,"abstract":"A Maple implementation of partitioned matrices is described. A recursive\nblock data structure is used, with all operations preserving the block\nabstraction. These include constructor functions, ring operations such as\naddition and product, and inversion. The package is demonstrated by calculating\nthe PLU factorization of a block matrix.","PeriodicalId":501033,"journal":{"name":"arXiv - CS - Symbolic Computation","volume":"93 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Symbolic Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.02112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A Maple implementation of partitioned matrices is described. A recursive
block data structure is used, with all operations preserving the block
abstraction. These include constructor functions, ring operations such as
addition and product, and inversion. The package is demonstrated by calculating
the PLU factorization of a block matrix.