SparseOpt is designed to accelerate the development of numerical toolboxes for sparse optimization and to provide a flexible platform for testing a wide range of sparse optimization applications. The current release of the toolbox encompasses the following solvers:

✅ SCO - Sparsity-constrained optimization solvers

✅ SRO - Sparsity-regularized optimization solvers

✅ SFCO - Step function-constrained optimization solvers

✅ SFRO - Step function-regularized optimization solvers

✅ SQCQP - Sparse quadratically constrained quadratic programming solver

✅ CS - Compressive sensing solvers

✅ 1BCS - One-bit compressive sensing solvers

✅ SSVM - Sparse support vector machine solvers