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  • Least squares

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  • Definition of least-squares solution to a linear system
  • Definition of least-squares error of a linear system
  • Formula for computing the least squares solution to a linear system.
  • Formula for computing the least squares solution to a linear system
  • The least squares solution to a linear system is unique if and only if the columns of the coefficient matrix are linearly independent.
  • Definition of the least-squares linear fit to 2-dimensional data
  • Formula for the least-squares linear fit to 2-dimensional data
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  1. The least squares solution to a linear system is unique if and only if the columns of the coefficient matrix are linearly independent.

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  • Least squaresClose match
  • Definition of least-squares solution to a linear systemClose match
  • A set of vectors is linearly independent if and only if the homogeneous linear system corresponding to the matrix of column vectors has only the trivial solution.Close match
  • Definition of least-squares error of a linear systemClose match
  • Eigenvectors with distinct eigenvalues are linearly independent.Close match
  • Equivalence theorem for nonsingular matrices: the columns of A are linearly independent.Close match
  • Description of a basis for the null space of a matrix from the reduced row-echelon form.Close match
  • Formula for computing the least squares solution to a linear system.Close match
  • A set of vectors is linearly independent if and only if the matrix of column vectors in reduced row-echelon form has every column as a pivot column.Close match
  • Definition of trivial solution to a homogeneous linear system of equationsClose match
  • If a set of vectors contains the 0 vectorClose match
  • A linear system is equivalent to a vector equation.Close match
  • Definition of the least-squares linear fit to 2-dimensional dataClose match
  • Theorem: a set of vectors is linearly independent if and only if whenever a linear combination is 0Close match
  • An orthogonal set of nonzero vectors is linearly independent.Related
  • A set is linearly independent if and only if the set of coordinate vectors with respect to any basis is linearly independent.Related
  • The minimal polynomial of a square matrix exists and is unique.Related
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