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The basic least-squares equations are often called
the ``normal" equations.
The word ``normal" means perpendicular.
We can rewrite equation
(16)
to emphasize the perpendicularity.
Bring both terms to the left,
and recall the definition of the residual
from equation (2):
|  |
(23) |
| (24) |
Equation (24) says that the residual vector
is perpendicular to
each row in the
matrix.
These rows are the fitting functions.
Therefore, the residual, after it has been minimized,
is perpendicular to the fitting functions.
Next: Differentiation by a complex
Up: MULTIVARIATE LEAST SQUARES
Previous: Inverse filter example
Stanford Exploration Project
10/21/1998