OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
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Updated
Apr 28, 2024 - C++
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
A C++ header-only library of statistical distribution functions.
Rcpp integration for the Armadillo templated linear algebra library
A C++ library of Markov Chain Monte Carlo (MCMC) methods
C++17 templates between [stl::vector | armadillo | eigen3 | ublas | blitz++] and HDF5 datasets
Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python
Converters between Armadillo matrices (C++) and Numpy arrays using Pybind11
Kalman Filter, Extended Kalman Filter, and Unscented Kalman Filter implementation in C++
Rcpp integration for the Ensmallen templated C++ mathematical optimization library
ProjectFEA is a Finite Element Library. It is being designed such that new weak forms of different models can be easily defined and used.
high performance statistic machine learning libraries in C++ [based on Armadillo-9.300]
A toolbox for solving problems of equilibrium computation and identification in discrete choice and matching problems.
General Purpose Optimization in R using C++: provides a unified C++ wrapper to call functions of the algorithms underlying the optim() solver
library of numerical methods using Armadillo
Rehuel is a simple C++11 library for solving ordinary differential equations with (implicit) Runge-Kutta methods.
Estimate the Deterministic Input, Noisy "And" Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) <doi:10.3102/1076998615595403>.
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