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SENATOROVAI/L-BFGS-B-solver-course

Linear regression with the LBFGSB (Limited-memory Broyden-Fletcher-Goldfarb-Shanno BFGS) solver method is a numerical optimization method used to find the minimum of an objective function. It is a gradient descent algorithm that uses an approximation of the Hessian matrix to minimize the function.

语言:Jupyter Notebook · GitHub 星标:15 · Fork:12

话题:bfgs-solver · data-science · gradient-based-methods · large-scale-optimization · lbfgs · lbfgs-b · lbfgs-solver · lbfgsb

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