We analyze the problem of finding a point strictly interior to a bounded, fully dimensional set from a finite dimensional Hilbert space. We generalize the results obtained for the LP, SDP and SOCP cases. The cuts added by our algorithm are central and conic. In our analysis, we find an upper bound for the number of Newton steps required to compute an approximate analytic center. Also, we provide an upper bound for the total number of cuts added to solve the problem. This bound depends on the quality of the cuts, the dimensionality of the problem and the thickness of the set we are considering.
June 2005. Department of Mathematical Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180 USA. http://www.rpi.edu/~mitchj/papers/coniccuts.html
View An analytic center cutting plane approach for conic programming