BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Karachi BEGIN:STANDARD DTSTART:20091031T230000 TZOFFSETFROM:+0600 TZOFFSETTO:+0500 TZNAME:PKT END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20221024T172443Z UID:8F884498-FD01-4A42-A922-967558BE097D DTSTART;TZID=Asia/Karachi:20221020T150000 DTEND;TZID=Asia/Karachi:20221020T160000 DESCRIPTION:Interior-point methods (also referred to as barrier methods or IPMs) are a certain class of algorithms that solve linear and nonlinear co nvex optimization problems. It enabled solutions of linear programming pro blems that were beyond the capabilities of the simplex method. Contrary to the simplex method\, it reaches the best solution by traversing the inter ior of the feasible region. The method can be generalized to convex progra mming based on a self-concordant barrier function used to encode the conve x set. The class of primal-dual path-following interior-point methods is c onsidered the most successful. Mehrotra's predictor-corrector algorithm pr ovides the basis for most implementations of this class of methods.\n\nCo- sponsored by: Control and Signal Processing Research Group \n\nSpeaker(s): Mr. Zohaib Latif\, \n\nCapital University of Science & Technology (CUST)\ , Islamabad\, Islamabad Capital Territory\, Pakistan LOCATION:Capital University of Science & Technology (CUST)\, Islamabad\, Is lamabad Capital Territory\, Pakistan ORGANIZER:gm@pieas.edu.pk SEQUENCE:0 SUMMARY:Interior-point methods URL;VALUE=URI:https://events.vtools.ieee.org/m/329317 X-ALT-DESC:Description: <br /><p>Interior-point methods (also referred to a s barrier methods or IPMs) are a certain class of algorithms that solve li near and nonlinear convex optimization problems. It enabled solutions of l inear programming problems that were beyond the capabilities of the simple x method. Contrary to the simplex method\, it reaches the best solution by traversing the interior of the feasible region. The method can be general ized to convex programming based on a self-concordant barrier function use d to encode the convex set. The class of primal-dual path-following interi or-point methods is considered the most successful. Mehrotra's predictor-c orrector algorithm provides the basis for most implementations of this cla ss of methods.</p> END:VEVENT END:VCALENDAR