3.2. The least squares solution of smallest norm of th in m x n matrix, is given by

College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter6: Matrices And Determinants
Section6.4: Determinants And Cramer’s Rule
Problem 1E: True or false? det(A) is defined only for a square matrix A.
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Theorem 23.2. The least squares solution of smallest norm of the linear system Ar = b,
where A is an m x n matrix, is given by
x+ = A+b= UD+VTb.
Transcribed Image Text:Theorem 23.2. The least squares solution of smallest norm of the linear system Ar = b, where A is an m x n matrix, is given by x+ = A+b= UD+VTb.
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