Linear Algebra › Section F · Orthogonality and least squares › Topic F.5

Least-squares problems

Measurements carry errors, so a system with more equations than unknowns usually has no exact solution. Least squares finds the next best thing: the vector that comes as close as possible to solving it, using the projections of this section.

In this topic

  • When Ax = b has no solution
  • What a least-squares solution is
  • The geometry: project b onto Col A
  • The normal equations
  • Worked example: a 3 × 2 inconsistent system
  • When the solution is unique
  • Using a QR factorisation
  • Worked example: least squares by QR
  • A short history
  • Common mistakes to avoid
  • Key takeaways

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