GitHub

jonathanschilling/L-BFGS-B

C. Voglis and I. E. Lagaris, BOXCQP: An Algorithm for Bound Constrained Convex Quadratic Problems (2004), 1st International Conference "From Scientific Computing to Computational Engineering", Athens, ...
GitHub

L-BFGS-B-C

This is a C version of the well-known L-BFGS-B code, version 3.0. It was created with f2c, then hand-coded to remove dependences on the f2c library There is a Matlab mex wrapper (mex files and .m ...
Visual Studio Magazine

Logistic Regression Using PyTorch with L-BFGS

Dr. James McCaffrey of Microsoft Research demonstrates applying the L-BFGS optimization algorithm to the ML logistic regression technique for binary classification -- predicting one of two possible ...
Visual Studio Magazine

Logistic Regression Using PyTorch with L-BFGS

The goal of the demo is to predict the sex (0 = male, 1 = female) of a hospital patient based on age, county of residence, blood monocyte count and hospitalization history. The demo reads a 200-item ...
IEEE

Learning the Step-size Policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm

Abstract: We consider the problem to learn a step-size policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) algorithm. This is a limited computational memory quasi-Newton method ...
IEEE

System Regulation Research Based on SLSQP and L-BFGS-B Algorithms

Abstract: This paper investigates the calculation of performance parameters, scenario-based parameter optimization, and dynamic control strategies for specific systems using algorithmic models such as ...