We present a general framework whereby analysis of interior-point algorithms for semidefinite programming can be extended verbatim to optimization problems over all classes of symmetric cones ...
Mathematics of Computation, Vol. 69, No. 229 (Jan., 2000), pp. 283-304 (22 pages) Recently, based upon the Chen-Harker-Kanzow-Smale smoothing function and the trajectory and the neighbourhood ...
Data for a linear programming problem resembles the data for side constraints and nonarc variables supplied to PROC NETFLOW when solving a constrained network problem. It is also very similar to the ...
Interior point methods have revolutionised the field of optimisation over the past few decades, offering robust and efficient alternatives to traditional simplex and iterative algorithms. These ...