In our introduction to Lagrange Multipliers we looked at the geometric meaning and saw an example when our goal was to optimize a function (i.e. find maximums and minimums) subject to ONE constraint:[ Ссылка ]
Now we are upgrading to the case of optimizing with two constraints. We will look at how to interpret the lagrange multiplier method geometrically for two constrains, and then see a full example. We will also look at the geometry of the special case of optimization function: the distance.

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0:00 Intro
0:38 Lagrange Multiplier Method
4:50 Example
12:30 Visulization

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This video was created by Dr. Trefor Bazett. I'm an Assistant Teaching Professor at the University of Victoria.

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