Convergence analysis of a proximal Gauss-Newton method

Mathematics – Optimization and Control

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

An extension of the Gauss-Newton algorithm is proposed to find local minimizers of penalized nonlinear least squares problems, under generalized Lipschitz assumptions. Convergence results of local type are obtained, as well as an estimate of the radius of the convergence ball. Some applications for solving constrained nonlinear equations are discussed and the numerical performance of the method is assessed on some significant test problems.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Convergence analysis of a proximal Gauss-Newton method does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Convergence analysis of a proximal Gauss-Newton method, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Convergence analysis of a proximal Gauss-Newton method will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-474103

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.