All the least squares problems in earlier chapters
are merely the first step
in a wider class of problems--nonlinear problems.
Nonlinear problems typically arise when the unknowns come in two flavors.
The slogan ``don't add apples to oranges'' applies in reverse,
if you have apples and oranges,
it is unlikely they will be combined by simple addition--a
more complicated *nonlinear* relationship likely relates the unknowns.
Linear relationships apply when we pretend that apples are constant
while we solve for the oranges, and vice versa.
The nonlinear relationships we will study here
are little more than a systematic way
of letting everything vary at once.

- OPTIMUM FILTER WITH MISSING DATA
- References
- INTERPOLATION BY PLANE WAVE DESTRUCTION
- PLANE WAVE IDENTIFICATION BEYOND ALIASING
- References
- DIP FILTER DEFINITION
- INTERPOLATION WITH P.D.E. DIP FILTERS
- INTERPOLATION WITH SPATIAL PREDICTORS
- CLASH IN PHILOSOPHIES

1/13/1998