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Concise Modular Calculus [85/97]: Relative Maxima and Relative Minima of Multivariable Functions
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(1/3 on Multivariable Optimization) Explains that, at the location of a relative maximum or minimum, the gradient of a multivariable function must be zero. Justifies the second derivative test as a tool to distinguish whether a critical point is a relative maximum, a relative minimum or a saddle point.
All videos and slides for single variable calculus available at
All videos and slides for multivariable calculus available at
Public domain version of the electronic calculus textbook available at
All videos and slides for single variable calculus available at
All videos and slides for multivariable calculus available at
Public domain version of the electronic calculus textbook available at