DCIDE: A DC programming modeling and optimization IDE (for general DC programs); Code in C++ with Qt5&MFC.
DCAM: A Matlab modeling and optimization toolbox (based on object oriented programming) for general dc program.
DEMIPP: A Matlab toolbox of differential equation methods (Houbolt scheme, Lie scheme and RK(4,5) scheme) for solving Boolean polynomial programs.
PDCABB: A parallel mixed-integer nonlinear optimization (parallel DCA-B&B global optimization algorithm); Codes in C++ (Python and Matlab interfaces are available).
DCABB: A mixed-integer nonlinear optimization solver (non-parallel DCA-B&B global optimization algorithm); Codes in C++, Matlab and E-language are available. Now it is integrated in PDCABB.
PMDCCUT: A Matlab toolbox (parallel DC-Cut global optimization algorithm) for mixed-binary linear program.
CUTGEN: A Matlab toolbox for cutting planes generation (including: DC cut, lift-and-project cut, Gomory cut and Mixed-integer rounding cut).
POLY2DCSOS: A Matlab toolbox for DCSOS polynomial decomposition.
POLY2DSOS: A Matlab toolbox for DSOS polynomial decomposition.
MDCAPOLY: A Matlab toolbox (DCA algorithm) for homogeneous polynomial optimization.
BDCA_SEiCP_SQEiCP: A MATLAB toolbox for an accelerated DC Algorithm (BDCA) for solving Symmetric Eigenvalue Complementarity Problem (SEiCP) and Symmetric Quadratic Eigenvalue Complementarity Problem (SQEiCP).
MEICP: A Matlab toolbox (DCA algorithm) for (symmetric, asymmetric, and quadratic) eigenvalue complementarity problems.
MDCABMI: A Matlab toolbox (DCA algorithm) for DC program involving Bilinear Matrix Inequalities (BMI).
MDCABMIF: A Matlab toolbox (DCA algorithm) for BMI feasibility problem.
MVSKOPT: A Matlab toolbox (two algorithms: 1. DCA with spectral DC decomposition; 2. DCA with DCSOS decomposition) for mean-variance-skewness-kurtosis higher-order moment portfolio optimization.
MVSK-Multi: A Matlab toolbox for multi-objective higher order moment portfolio optimization.
NLPTOOL: A deep-learning package for sentence compression (two algorithms: 1. hybrid method combing parsing tree and integer linear probability model; 2. recurrent neural network and long short term memory model). Code in Python (2017-2018).
STNN-COVID19: A deep-learning package of Spatio-Temporal Neural Network (Python and Matlab) for forecasting the spread of COVID-19 (2020).
COVID19-predictors: A Matlab toolbox for predicting the spread of COVID-19, including BPNN model, RNN model, curve fitting models (exponential model, Gaussian model, polynomial model, smoothing spline model) and SEIR model (2020).
CISOLVER: An parallel algorithm for huge-scale CI (Configuration interaction) matrix construction in CISD method (quantum chemistry); Code in Fortran using MPI (Developed at University of Paris 6, 2013-2014).
CI-DCA: A CI matrix Eigen system solver (DCA algorithm); Code in Fortran and in Matlab (Developed at University of Paris 6, 2013-2014).
RTMOPT: A derivative-free optimization solver (DCA-trust region algorithm) for Resin Transfer Molding Simulation; Code in Matlab (Developed at CNRS LOMC, 2012).
POLYLAB: A Matlab class for efficiently modeling multivariate polynomials.
CPPMATRIX: A C++ class for dense and sparse matrices and their operations.
EMATRIX: An E-language class for dense and sparse matrices and their operations.
PBB: A C++ class for parallel Branch-and-Bound framework.
SPX: A C++ implementation for solving linear program (primal-dual simplex algorithm).
GRB: An easy-to-use C++ class for calling Gurobi solver.
CPX: An easy-to-use C++ class for calling Cplex solver.
DCALIB: A C++ class for DCA algorithm.