A note on “On fast trust region methods for quadratic models with linear constraints”, by Michael J.D. Powell

  • The following paper, “On fast trust region methods for quadratic models with linear constraints” by Michael J.D. Powell, was submitted to Mathematical Programming Computation in August 2014, andwas still in review when we became aware of Mike’s deteriorating health. Unfortunately, despite our best efforts and those of two referees, Mike died before we were able to send him our verdict. Both referees had concerns about points that needed further explanation, but in all likelihood—and after a few clarifying iterations—the paper would ultimately have been published. As we believe that the ideas central to the paper are of general interest to the journal’s readership, we have taken the unusual step of publishing the paper “as is”. Readers might, like the referees, question some of the statements made, but we feel it would be wrong tosecond guess Mike’s intentions, and have chosen to leave such statements alone.Mike had a profound effect on computational nonlinear optimization. We dedicate this paper to his memory.

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Daniel Bienstock, Philip E. Gill, Nick Gould
DOI:https://doi.org/10.1007/s12532-015-0085-3
ISSN:1867-2949
Parent Title (English):Mathematical Programming Computation
Publisher:Springer Science and Business Media LLC
Document Type:Article
Language:English
Year of Completion:2015
Tag:Software; Theoretical Computer Science
Volume:7
Issue:3
Page Number:1
First Page:235
Last Page:235
Mathematical Programming Computation :MPC 2015 - Issue 3
Verstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.