open source java library for general convex optimization problems (LP, QP, QCQP, SOCP, SDP, GP, etc) with barrier and primal dual interior point methods
Optimization is the science of making a best choice in the face of conflicting requirements. Any convex optimization problem has geometric interpretation. If a given optimization problem can be transformed to a convex equivalent, then this interpretive be
This thesis is divided into two parts. Both cope with multi-class image segmentation and utilize
non-smooth optimization algorithms.
The topic of the first part, namely unsupervised segmentation, is the application of clustering
to image pixels. Theref
open source java library for general convex optimization problems (LP, QP, QCQP, SOCP, SDP, GP, etc) with barrier and primal dual interior point methods