Synopsis
		sfvaripick lambda= niter= rho= epsilon= type= updates=

Performs automatic picking of a surface from a semblance-like volume.
Input is semblance volume, also needs vo= starting model, dsemb= partial derivative of semblance with respect to v

Parameters
		float epsilon= positive regularization parameter for gradient term   float lambda= positive regularizaton parameter   int niter= number of iterations   float rho= step size limit   string type= lbfgs, line, or grad   string updates=

Used In
		TCCS          varipick/global-gom varipick/horizon varipick/newviking