BFGS O-BFGS Is Not Necessarily Convergent: Revision history

Jump to navigation Jump to search

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

1 September 2025

  • curprev 00:1500:15, 1 September 2025‎ HarrisChacon8 talk contribs‎ 5,591 bytes +5,591‎ Created page with "<br>Limited-memory BFGS (L-BFGS or LM-BFGS) is an optimization algorithm in the collection of quasi-Newton methods that approximates the Broyden-Fletcher-Goldfarb-Shanno algorithm (BFGS) using a limited amount of laptop memory. It is a well-liked algorithm for parameter estimation in machine studying. Hessian (n being the number of variables in the issue), L-BFGS shops only some vectors that characterize the approximation implicitly. Resulting from its ensuing linear mem..."
Retrieved from "https://wiki.timero.com.br/index.php?title=BFGS_O-BFGS_Is_Not_Necessarily_Convergent"