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dc.contributor.authorShams El-Din El-Fouly
dc.contributor.authorSiddharth Misra
dc.date.accessioned2020-01-13T18:07:01Z
dc.date.available2020-01-13T18:07:01Z
dc.date.issued7/17/18
dc.identifier.urihttps://hdl.handle.net/11244/323275
dc.description.abstractIn this lesson you'll learn about how to apply the gradient decent/ascent method to find optimum min and max of a 2D function and learn how to code a gradient descent code
dc.description.abstractThis file is part of a series of video lectures for Dr. Siddharth Misra’s class, Numerical Methods for Engineering Computation, at the University of Oklahoma. The video series demonstrates how to develop numerical methods using C++, Python, and MATLAB and shows the codes and methods being developed from the scratch. Students are encouraged to develop their own codes along with the videos. The series is numbered as follows:
dc.description.abstract1.1 – 1.8
dc.description.abstract2.1 – 2.3
dc.description.abstract3.1 – 3.7
dc.description.abstract4.1 – 4.7
dc.description.abstract5.1 – 5.5
dc.description.abstract6.1 – 6.4
dc.description.abstract7.1 – 7.5
dc.description.abstract8.1 – 8.4
dc.languageen_US
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.title5.4 - 2D Optimization - Gradient Descent
dc.typeVideo
dc.description.peerreviewNo


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Except where otherwise noted, this item's license is described as CC BY 4.0