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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/unesp/360888
Title: 
Least Squares
Author(s): 
Maes, Chris
Language: 
eng
Description: 
  • When a matrix A is square with full rank, there is a vector x that satisfies the equation Ax=b for any b. However, when A is not square or does not have full rank, such an x may not exist, because b does not lie in the range of A. In this case, called the least squares problem, we seek the vector x that minimizes the length (or norm) of the residual vector r=Ax-b. The four vectors Ax, b, r, and rmin are color coded and the plane is the range of the matrix A. The plane shown is the set of all possible vectors Ax
  • Componente Curricular::Educação Superior::Ciências Exatas e da Terra::Matemática
Issue Date: 
  • 15-Sep-2008
  • 15-Sep-2008
  • 2008
  • 15-Sep-2008
  • 13-Sep-2008
Publisher: 
Wolfram
Keywords: 
  • Approximation Methods
  • Educação Superior::Ciências Exatas e da Terra::Matemática::Análise Complexa
Credits: 
This demonstration needs the "MathematicaPlayer.exe" to run. Found in http://objetoseducacionais2.mec.gov.br/handle/mec/4737
Source: 
http://objetoseducacionais2.mec.gov.br/handle/mec/5347
URI: 
http://acervodigital.unesp.br/handle/unesp/360888
Rights: 
Demonstration freeware using Mathematica Player
Type: 
outro
Appears in Collections:MEC - Objetos Educacionais (BIOE) - OE

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