An open source library for the GPU-implementation of L-BFGS-B algorithm
Julia wrapper for L-BFGS-B Nonlinear Optimization Code
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.
L-BFGS-B as a C++ header-only library
Modern Fortran Refactoring of L-BFGS-B Nonlinear Optimization Code
Lbfgsb.rb provides Ruby bindings for L-BFGS-B.
Numo::Optimize provides functions for minimizing objective functions.
Analyze and debug LBFGS linesearch behavior inside GRAPE
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