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DESCRIPTION:An introduction to convex optimization and conic programming\n\nCarlos Pascual\n\nLocation: QNC 1201\n\nAbstract\n\nNonlinear optimization programs based on linear and convex functions can be efficiently solved via numerical methods thanks to the so-called convex optimization framework. This formalism finds applications in fields like finance\, aerospace engineering\, and quantum technologies. With this seminar\, we will explore the principles of convex optimization\, including duality\, KKT conditions\, and barrier functions. This discussion is followed by an introduction to conic programming\, a subfield that leverages intuitive geometric notions to efficiently perform convex optimization.
X-ALT-DESC;FMTTYPE=text/html:An introduction to convex optimization and conic programming<br />Carlos Pascual<br><br>Location: QNC 1201<br><br>Abstract<br />Nonlinear optimization programs based on linear and convex functions can be efficiently solved via numerical methods thanks to the so-called convex optimization framework. This formalism finds applications in fields like finance, aerospace engineering, and quantum technologies. With this seminar, we will explore the principles of convex optimization, including duality, KKT conditions, and barrier functions. This discussion is followed by an introduction to conic programming, a subfield that leverages intuitive geometric notions to efficiently perform convex optimization.
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SUMMARY:IQC student seminar featuring Carlos Pascual
DTSTART;TZID=America/New_York:20260715T120000
DTEND;TZID=America/New_York:20260715T130000
DTSTAMP:20260713T234023Z
TRANSP:OPAQUE
STATUS:CONFIRMED
SEQUENCE:0
LOCATION:QNC 1201
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DESCRIPTION:Reminder
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