Abstract

This work develops a fast and reliable computational framework for the inverse problem of identifying variable parameters in abstract mixed variational problems. One of the main contributions of this work is a thorough derivation of efficient computation schemes for the evaluation of the gradient and the Hessian of the output least-squares (OLS) functional. The derivation of all the formulas is given in continuous as well as discrete setting. Detailed numerical results for different classes of problems are presented.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.