This release is a pre-release and may not be stable for production use.
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.
Feature highlights:
- Vector abstractions and matrix-free interface for universal applicability
- Modern algorithms for unconstrained and constrained optimization
- Easy-to-use methods for stochastic and risk-aware optimization
- Fast and robust algorithms for nonsmooth optimization
- Trust-region methods for inexact and adaptive computations
- PDE-OPT application development kit for PDE-constrained optimization
- 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 \
-D CMAKE_INSTALL_PREFIX=build/install \
.
After a successful configure, ROL is built by then changing
to the build directory and running make
cd build
make
One can then install it
make install
Building against ROL
Assuming we have a directory called 'roltest' which contains files we would like to run using ROL. In /dir/to/roltest, create a CMakeLists.txt with the following:
cmake_minimum_required(VERSION 3.10)
project(test)
set(CMAKE_CXX_STANDARD 17)
enable_language(C)
enable_language(CXX)
message(STATUS "ROL directory is: ${ROL_DIR}/include")
include_directories("${ROL_DIR}/include") #one down for all files
find_library(ROL_LIB NAMES rol librol PATHS ${ROL_DIR}/lib NO_DEFAULT_PATH)
if(ROL_LIB)
message(STATUS "We found ROL!")
else()
message(FATAL_ERROR "ROL library not found!")
endif()
add_library(rol::rol UNKNOWN IMPORTED)
set_target_properties(rol::rol PROPERTIES IMPORTED_LOCATION "${ROL_LIB}")
add_executable(ROLtest mytest.cpp)
target_link_libraries(ROLtest PRIVATE rol::rol)
add_executable(ROLtest mytest.cpp)
The file in mytest then simply tests that it can find a basic ROL type:
#include "ROL_StdVector.hpp"
typedef double RealT;
int main() {
int dim = 100;
ROL::StdVector<RealT> x(dim);
x.randomize(-1.0, 1.0);
std::cout << "What's the norm of x? " << x.norm() << std::endl;
}
Compiling and executing should then be a matter of:
$ cmake . -DROL_DIR=/Users/../path/to/rol/build/install
$ make
$ ./ROLtest
What's the norm of x? "some random number"
Python Interface
The python pip package rol-python is the official python interface to ROL. It is available at https://pypi.org/project/rol-python/ and can be installed via
pip install rol-python
Copyright and License
See COPYRIGHT and LICENSE.
Questions?
Contact team or developers:
- ROL Team (GitHub handle: @sandialabs/rol)
- Drew Kouri (GitHub handle: dpkouri or dpkouri@sandia.gov)
- Denis Ridzal (GitHub handle: dridzal or dridzal@sandia.gov)
Release files for rol-python 2026.8.28.dev1935
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