# jwetzl/CudaLBFGS

<https://repo.masters-masters.com/en/repos/jwetzl/CudaLBFGS>

[Home](https://repo.masters-masters.com/en) › [jwetzl](https://repo.masters-masters.com/en/owners/jwetzl) › [CudaLBFGS](https://repo.masters-masters.com/en/repos/jwetzl/CudaLBFGS)

jwetzl/CudaLBFGS has 139 stars on GitHub. Its RepoMasters card: Prototype tier. This is a cross-platform, CUDA-based C++ library for general-purpose…

| Field | Value |
| --- | --- |
| Owner | [jwetzl](https://repo.masters-masters.com/en/owners/jwetzl) |
| Stars | 139 |
| Forks | 41 |
| Language | [Objective-C](https://repo.masters-masters.com/en/languages/objective-c) |
| License | None |
| Created | 2013 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [jwetzl/CudaLBFGS](https://github.com/jwetzl/CudaLBFGS) |

## Repository

This is a cross-platform, CUDA-based C++ library for general-purpose, unconstrained nonlinear optimization on the GPU. It implements the L-BFGS (“Limited-memory Broyden-Fletcher-Goldfarb-Shanno“) method, a popular Quasi-Newton variant with a low memory footprint.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.