groups and their dependencies

[fnrizzi]

C++

• UTILITIES_HDF5: EIGEN3, HDF5, BOOST

• UTILITIES_CORE: EIGEN3, BOOST

• UTILITIES_MULTIINDEX: EIGEN3, HDF5, BOOST

• MODELING_CORE: EIGEN3, BOOST

• MODELING_UMBRIDGE: EIGEN3, BOOST

• MODELING_STAN: EIGEN3, BOOST, STANMATH

• MODELING_FLANN: EIGEN3, BOOST, NANOFLANN

• MODELING_LINEARALGEBRA: EIGEN3, BOOST, STANMATH

• MODELING_DISTRIBUTIONS: EIGEN3, BOOST, STANMATH

• MODELING_ODE: EIGEN3, BOOST, STANMATH, SUNDIALS

• OPTIMIZATION_CORE: EIGEN3, BOOST, STANMATH

• OPTIMIZATION_NLOPT: EIGEN3, BOOST, STANMATH, NLOPT

• APPROXIMATION_REGRESSION: EIGEN3, HDF5, BOOST, STANMATH, NANOFLANN, NLOPT

• APPROXIMATION_POLYNOMIALS: EIGEN3, HDF5, BOOST, STANMATH, NANOFLANN

• APPROXIMATION_QUADRATURE: EIGEN3, HDF5, BOOST, STANMATH, NANOFLANN

• APPROXIMATION_POLYNOMIALCHAOS: EIGEN3, HDF5, BOOST, STANMATH, NANOFLANN

• APPROXIMATION_GP_Kernels: EIGEN3, BOOST, STANMATH

• APPROXIMATION_GP: EIGEN3, HDF5, BOOST, STANMATH, NANOFLANN

• SAMPLING_PROBLEMS: EIGEN3, BOOST, STANMATH

• FANCY_SAMPLING_PROBLEMS: EIGEN3, HDF5, BOOST, STANMATH, NANOFLANN, NLOPT

• SAMPLING_ALGORITHM: EIGEN3, HDF5, BOOST, STANMATH, NANOFLANN

• PARALLEL_SAMPLING_ALGORITHM: EIGEN3, HDF5, BOOST, STANMATH, NANOFLANN, NLOPT, PARCER, SPDLOG, OTF2

• INFERENCE_FILTERING: EIGEN3, BOOST, STANMATH

PYTHON

Sams as above + python of course

• UTILITIES_CORE_PYTHON
• MODELING_CORE_PYTHON
• MODELING_SUNDIALS_MODELS_PYTHON
• OPTIMIZATION_CORE_PYTHON
• APPROXIMATION_CORE_PYTHON
• SAMPLINGALGORITHMS_CORE_PYTHON
• INFERENCE_FILTERING_PYTHON

[fnrizzi]

already added to documentation https://github.com/NexGenAnalytics/MIT-MUQ/pull/102