Skip to content
#

lbfgs-solver

Star

Here are 3 public repositories matching this topic...

Language: All
Filter by language
All 3 C++ 2 Jupyter Notebook 1

PatWie / CppNumericalSolvers

Star 955

a lightweight header-only C++17 library of numerical optimization methods for (un-)constrained nonlinear functions and expression templates

newton optimization solver minimization eigen mathematics constrained-optimization optimization-methods optimization-tools solvers optimization-algorithms gradient-computation bfgs lbfgs numerical-optimization-methods minimization-algorithm lbfgs-solver lbfgsb-solver expression-templates
  • Updated Jan 9, 2026
  • C++
L-BFGS-B-solver-course

SENATOROVAI / L-BFGS-B-solver-course

Star 15

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
  • Updated Mar 6, 2026
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the lbfgs-solver topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the lbfgs-solver topic, visit your repo's landing page and select "manage topics."

Learn more