BFGS O-BFGS Will Not Be Essentially Convergent: Revision history

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11 August 2025

  • curprev 11:3411:34, 11 August 2025‎ LashayBinkley talk contribs‎ 5,739 bytes +5,739‎ Created page with "<br>Restricted-memory BFGS (L-BFGS or LM-BFGS) is an optimization algorithm in the gathering of quasi-Newton methods that approximates the Broyden-Fletcher-Goldfarb-Shanno algorithm (BFGS) using a limited amount of computer memory. It is a well-liked algorithm for parameter estimation in machine learning. Hessian (n being the variety of variables in the problem), L-BFGS stores only some vectors that signify the approximation implicitly. Resulting from its ensuing linear..."
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