https://github.com/sandialabs/rol
Rapid Optimization Library
https://github.com/sandialabs/rol
large-scale-optimization numerical-optimization optimal-experimental-design pde-constrained-optimization scr-1629 snl-science-libs stochastic-optimization trust-region-methods
Last synced: 24 days ago
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Rapid Optimization Library
- Host: GitHub
- URL: https://github.com/sandialabs/rol
- Owner: sandialabs
- License: bsd-3-clause
- Created: 2025-09-04T21:57:43.000Z (8 months ago)
- Default Branch: develop
- Last Pushed: 2026-04-03T21:02:37.000Z (24 days ago)
- Last Synced: 2026-04-03T22:33:12.350Z (24 days ago)
- Topics: large-scale-optimization, numerical-optimization, optimal-experimental-design, pde-constrained-optimization, scr-1629, snl-science-libs, stochastic-optimization, trust-region-methods
- Language: C++
- Homepage: https://rol.sandia.gov
- Size: 22.2 MB
- Stars: 18
- Watchers: 1
- Forks: 6
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Copyright: COPYRIGHT
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README
# Rapid Optimization Library (ROL)
**ROL** (as in rock and _roll_) is a high-performance C++ library for numerical optimization.
ROL brings an extensive collection of state-of-the-art optimization algorithms to virtually
any application. Its programming interface supports any computational hardware, including
heterogeneous many-core systems with digital and analog accelerators. ROL has been used with
great success for optimal control, optimal design, inverse problems, image processing and
mesh optimization, in application areas including geophysics, structural dynamics, fluid
dynamics, electromagnetics, quantum computing, hypersonics and geospatial imaging.
For additional details, see [https://rol.sandia.gov](https://rol.sandia.gov).
Feature highlights:
1. Vector abstractions and matrix-free interface for universal applicability
2. Modern algorithms for unconstrained and constrained optimization
3. Easy-to-use methods for stochastic and risk-aware optimization
4. Fast and robust algorithms for nonsmooth optimization
5. Trust-region methods for inexact and adaptive computations
6. PDE-OPT application development kit for PDE-constrained optimization
7. Interfaces and algorithms for optimal experimental design
## Getting Started
ROL is a C++ library with a cmake build system.
There are minimal third-party library requirements consisting of BLAS and LAPACK
which also require a suitable Fortran compiler on the system.
On Linux-based systems with an apt package manager,
the dependencies may be installed with
```
apt install cmake gfortran libopenblas-dev liblapack3
```
Some typical configure scripts may be found in the `.github/workflows/` directory.
An in-source release build including ROL's examples and tests may be configured
from within the source directory with
```
cmake -D CMAKE_BUILD_TYPE:STRING=RELEASE \
-D ENABLE_EXAMPLES:BOOL=ON \
-D ENABLE_TESTS:BOOL=ON \
-B build \
.
```
After a successful configure, ROL is built by then changing
to the build directory and running `make`
```
cd build
make
```
## Copyright and License
See COPYRIGHT and LICENSE.
## Questions?
Contact team or developers:
* ROL Team (GitHub handle: @sandialabs/rol)
* Drew Kouri (GitHub handle: [dpkouri](https://github.com/dpkouri) or dpkouri@sandia.gov)
* Denis Ridzal (GitHub handle: [dridzal](https://github.com/dridzal) or dridzal@sandia.gov)