Difference between revisions of "Tikhoind.m"

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     [x,err,reg]=tikhoind(K,D,y,lam)
 
     [x,err,reg]=tikhoind(K,D,y,lam)
  
==Arguments==
+
==Parameters==
  
 
     K      - kernel matrix, may be complex, may be non-square
 
     K      - kernel matrix, may be complex, may be non-square

Revision as of 18:52, 5 June 2026

Analytical Tikhonov regularised solution to K*x=y without any constraints (indeterminate output).

Syntax

    [x,err,reg]=tikhoind(K,D,y,lam)

Parameters

   K      - kernel matrix, may be complex, may be non-square

   D      - regularisation matrix, leave empty to use finite
            difference second derivative matrix

   y      - a column vector, may be complex

   lam    - Tikhonov regularisation parameter

Outputs

   x      - a real vector, a minimum of 
            norm(K*x-y,2)^2+lambda*norm(D*x,2)^2

   err    - error signal norm(K*x-y,2)^2

   reg    - regularisation signal norm(D*x,2)^2

Notes

For best numerical performance, scale K to have approximately unit 2-norm, and y to have approximately unit 1-norm.

See also

Miscellaneous data processing

Numerical infrasctucture

tikhonov.m

Version 2.9, authors: Ilya Kuprov