In this lecture we introduce Newton's method for root-finding of multivariate functions. This lecture extends our discussion in Lecture 4 for single-variable root-finding. Once the method is introduced, we then apply it to an optimization problem wherein we wish to solve the gradient of a function equal to zero. We demonstrate that Newton's method offers a powerful tool that can complement solving optimization problems.
This course is taught by Jason Bramburger for Concordia University.
More information on the instructor: https://hybrid.concordia.ca/jbrambur/
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