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.
python data-science machine-learning optimization scientific-computing numerical-optimization lbfgs quasi-newton lbfgsb large-scale-optimization mathematical-optimization lbfgs-solver lbfgsb-solver lbfgs-b gradient-based-methods solver-lbfgs solver-bfgs bfgs-solver solver-lbfgsb
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Updated
Mar 17, 2026 - Jupyter Notebook