lbfgs

Here are 43 public repositories matching this topic...

PatWie / CppNumericalSolvers

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++

kthohr / optim

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OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

newton cpp optimization automatic-differentiation eigen openmp cpp11 evolutionary-algorithms armadillo gradient-descent optim differential-evolution optimization-algorithms particle-swarm-optimization bfgs lbfgs openmp-parallelization eigen3 numerical-optimization-methods

Updated Apr 28, 2024
C++

ZJU-FAST-Lab / LBFGS-Lite

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LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.

optimization nonlinear-optimization l-bfgs lbfgs unconstrained-optimization nonsmooth-optimization smooth-functions

Updated May 5, 2023
C++

raymondyfei / lbfgsb-gpu

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An open source library for the GPU-implementation of L-BFGS-B algorithm

machine-learning gpu machine-learning-algorithms optimization-methods nonlinear-optimization lbfgs lbfgsb lbfgsb-solver

Updated Aug 28, 2025
C++

SciNim / numericalnim

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A collection of numerical methods written in Nim

Updated Sep 16, 2024
Nim

nlesc-dirac / pytorch

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Improved LBFGS and LBFGS-B optimizers in PyTorch.

deep-learning optimization pytorch nonlinear-optimization lbfgs lbfgs-optimizer lbfgs-b kolmogorov-arnold-networks

Updated Nov 4, 2024
Python

A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)

machine-learning machine-learning-algorithms sgd tron logistic-regression regularization gradient-descent support-vector-machines optimization-algorithms convex-optimization lbfgs-algorithm lbfgs jensen

Updated Feb 26, 2022
C++

McMasterU / HashedExpression

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Type-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.

machine-learning haskell optimization edsl symbolic type-safety solvers symbolic-computation type-level-programming optimization-algorithms symbolic-differentiation lbfgs ipopt lbfgs-b

Updated Nov 11, 2024
Haskell

SarodYatawatta / federated-pytorch-test

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Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth

deep-learning clustering pytorch sagecal variational-autoencoder lbfgs federated-learning consensus-model consensus-optimization

Updated Apr 30, 2024
Python

leespen1 / QuantumGateDesign.jl

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Perform open-loop optimization of continuous control pulses using fast, high-order timestepping based on Hermite interpolation to find optimal control pulses for implementing quantum gates.

quantum-computing lbfgs hermite-interpolation quantum-gate-optimization quantum-optimal-control

Updated Mar 2, 2026
Julia

SENATOROVAI / L-BFGS-B-solver-course

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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.