 HCL_LS: creates mean square misfit function from (nonlinear) op, data vector
  HCL_LS: creates mean square misfit function from (nonlinear) op, data vector   |   | HCL_EvalLSFcnlGN_d HCL_EvalLSFcnlGN_d is the evaluation object for the functional class HCL_LeastSquareFcnlGN_d, which implements a least-squares functional based on a nonlinear operator | 
|   | HCL_LeastSquaresFcnlGN_d HCL_LeastSquaresFcnlGN creates least squares objective functions from operators and data | 
|   | HCL_EvalLSFcnlGNProductDomain_d HCL_EvalLSFcnlGNProductDomain_d is the evaluation object for the functional class HCL_LeastSquareFcnlGNProductDomain_d, which implements a least-squares functional based on a nonlinear operator | 
|   | HCL_LeastSquaresFcnlGNProductDomain_d HCL_LeastSquaresFcnl_ creates least squares objective functions from operators and data | 
|   | HCL_EvalLSFcnl_d HCL_EvalLSFcnl_d is the evaluation object for the functional class HCL_LeastSquareFcnl_d, which implements a least-squares functional based on a nonlinear operator | 
|   | HCL_LeastSquaresFcnl_d HCL_LeastSquaresFcnl_d creates least squares objective functions from operators and data | 
|   | HCL_EvalLSFcnlProductDomain_d HCL_EvalLSFcnlProductDomain_d is the evaluation object for the functional class HCL_LeastSquareFcnlProductDomain_d, which implements a least-squares functional based on a nonlinear operator | 
|   | HCL_LeastSquaresFcnlProductDomain_d HCL_LeastSquaresFcnlProductDomain_d creates least-squares objective functions from operators and data | 
alphabetic index hierarchy of classes
 
this page has been generated automatically by doc++
(c)opyright by  Malte  Zöckler,  Roland Wunderling 
contact:  doc++@zib.de