{"title":"矩阵分解","authors":"Z. Dvořák","doi":"10.1017/9781108679930.006","DOIUrl":null,"url":null,"abstract":"Proof. Reorder the rows of A so that Gaussian elimination algorithm does not need to exchange rows—the reordering is described by the permutation matrix P . Run Gaussian elimination for PA, only allowing addition of a multiple of a row to some row with higher index; the resulting matrix is U . The matrix L is obtained by performing the inverse operations on an identity matrix in the reverse order.","PeriodicalId":426020,"journal":{"name":"Mathematics for Machine Learning","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Matrix Decompositions\",\"authors\":\"Z. Dvořák\",\"doi\":\"10.1017/9781108679930.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Proof. Reorder the rows of A so that Gaussian elimination algorithm does not need to exchange rows—the reordering is described by the permutation matrix P . Run Gaussian elimination for PA, only allowing addition of a multiple of a row to some row with higher index; the resulting matrix is U . The matrix L is obtained by performing the inverse operations on an identity matrix in the reverse order.\",\"PeriodicalId\":426020,\"journal\":{\"name\":\"Mathematics for Machine Learning\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mathematics for Machine Learning\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1017/9781108679930.006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematics for Machine Learning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/9781108679930.006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Proof. Reorder the rows of A so that Gaussian elimination algorithm does not need to exchange rows—the reordering is described by the permutation matrix P . Run Gaussian elimination for PA, only allowing addition of a multiple of a row to some row with higher index; the resulting matrix is U . The matrix L is obtained by performing the inverse operations on an identity matrix in the reverse order.