Robert Manger , Mladen Grbić , Vito Leornardo Plantamura , Branko Souček
{"title":"并行奇异值分解算法及其在财务比率分析中的应用","authors":"Robert Manger , Mladen Grbić , Vito Leornardo Plantamura , Branko Souček","doi":"10.1016/0165-6074(94)00025-6","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper we describe a parallel version of the Hestenes algorithm for computing the singular value decomposition. We also describe a corresponding implementation on a transputer network. The implementation has been used to accelerate some programs for financial ratio analysis. Empirical results regarding the efficiency of our implementation are also presented.</p></div>","PeriodicalId":100927,"journal":{"name":"Microprocessing and Microprogramming","volume":"41 1","pages":"Pages 97-106"},"PeriodicalIF":0.0000,"publicationDate":"1995-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0165-6074(94)00025-6","citationCount":"3","resultStr":"{\"title\":\"A parallel SVD algorithm and its application to financial ratio analysis\",\"authors\":\"Robert Manger , Mladen Grbić , Vito Leornardo Plantamura , Branko Souček\",\"doi\":\"10.1016/0165-6074(94)00025-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this paper we describe a parallel version of the Hestenes algorithm for computing the singular value decomposition. We also describe a corresponding implementation on a transputer network. The implementation has been used to accelerate some programs for financial ratio analysis. Empirical results regarding the efficiency of our implementation are also presented.</p></div>\",\"PeriodicalId\":100927,\"journal\":{\"name\":\"Microprocessing and Microprogramming\",\"volume\":\"41 1\",\"pages\":\"Pages 97-106\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0165-6074(94)00025-6\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microprocessing and Microprogramming\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0165607494000256\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microprocessing and Microprogramming","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0165607494000256","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A parallel SVD algorithm and its application to financial ratio analysis
In this paper we describe a parallel version of the Hestenes algorithm for computing the singular value decomposition. We also describe a corresponding implementation on a transputer network. The implementation has been used to accelerate some programs for financial ratio analysis. Empirical results regarding the efficiency of our implementation are also presented.