Closed anirudhamajumdar closed 10 years ago
This is to prevent Out of Memory errors on very large problems (e.g., with DSOS). Having the output be a dense vector of NaNs causes Matlab to give a OOM error.
I double checked that this does not cause any problems further down the pipeline.
This is to prevent Out of Memory errors on very large problems (e.g., with DSOS). Having the output be a dense vector of NaNs causes Matlab to give a OOM error.
I double checked that this does not cause any problems further down the pipeline.