Show simple item record

3.3 - Newton Raphson & Secant Methods & How they compare

dc.contributor.authorShams El-Din El-Fouly
dc.contributor.authorSiddharth Misra
dc.date.accessioned2020-01-13T18:07:05Z
dc.date.available2020-01-13T18:07:05Z
dc.date.issued6/21/18
dc.identifier.urihttps://hdl.handle.net/11244/323292
dc.description.abstractIn this lesson you'll learn about the Newton Raphson and secant Techniques, how to develop a VBA code to implement these techniques to any desired approximate error and how the open methods compares to both bisection and False position methods
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.title3.3 - Newton Raphson & Secant Methods & How they compare
dc.typeVideo
dc.description.peerreviewNo


Files in this item

Thumbnail
Name:
3.3 - Newton Raphson & Secant ...
Size:
110.6Mb
Format:
MPEG-4 video
View/Open

This item appears in the following Collection(s)

Show simple item record


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