Hi all, Can anyone tell me for what the kernlab ipop return value dual is? How does it relate to the solution for a Support Vector Machine solution? I am trying to use the ipop solver in my (toy) example of a Support Vector Machine and I am noting that the bias (essentially the offset for the classification boundaries) that I calculate is the negative of this dual (within round off errors.) I am wondering is this true in general or perhaps just so for the simple examples that I considered so far. I can provide a detailed example of what I doing, but I am hoping that a SVM expert will be able to respond to this. Thanks for your consideration Ron -- R. R. Burns Physicist (Retired) Oceanside, CA