DSDP is a open source implementation of an interior-point method for semidefinite programming
DSDP provides primal and dual solutions, exploits low-rank structure and sparsity in the data, and has relatively low memory requirements for an interior-point method. The dual-scaling algorithm implemented in this package has a convergence proof and worst-case polynomial complexity under mild assumptions on the data
DSDP provides primal and dual solutions, exploits low-rank structure and sparsity in the data, and has relatively low memory requirements for an interior-point method. The dual-scaling algorithm implemented in this package has a convergence proof and worst-case polynomial complexity under mild assumptions on the data
To install DSDP, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install DSDP
To see what files were installed by DSDP, run:
port contents DSDP
To later upgrade DSDP, run:
sudo port selfupdate && sudo port upgrade DSDP
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