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PRODID:ics.py - http://git.io/lLljaA
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DESCRIPTION:Speaker: Prof. Shelby Stanhope\, US Air Force Academy \nIn multivariable calculus\, the method of Lagrange multipliers is a powerful tool for solving constrained optimization problems\; however\, many students experience it as a black-box algebra procedure. This raises a natural question: where do the Lagrange multiplier equations come from\, and why do their solutions identify extreme values under a constraint? In this talk\, we will use physical 3D models and interactive visualization in CalcPlot3D to derive the Lagrange equations graphically. By focusing on geometry rather than formulas\, the activity helps build intuition for why the method works. I will also share additional examples of how 3D models and visualization can support deeper understanding in multivariable calculus.\nTalk rating: PG (Some undergraduate mathematics assumed (e.g.\, some calculus))\n\nhttps://today.coloradocollege.edu/events/9580
DTEND:20260123T230000Z
LOCATION:Tutt Science 122 - Lecture Hall (Social Science)
DTSTART:20260123T220000Z
SUMMARY:Fearless Friday Talk: A Graphical Derivation of the Lagrange Multiplier Equations – Hands-on Activity
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