Learn the fixed-point and floating-point representation in base-10 as a precursor to learning the binary representation. Learn how the absolute true error is bounded in fixed-point representation, while it is the absolute relative true error that is bounded in floating-point representation.
For a full playlist on this topic of Introduction to Numerical Methods, go to https://www.youtube.com/playlist?list=PL01D13DF46AE8EF51
Please subscribe and ask your friends to subscribe - our goal is to get to 100,000 subscribers by the end of 2021.
To get even more help, subscribe to the numericalmethodsguy channel https://www.youtube.com/user/numericalmethodsguy, and go to http://MathForCollege.com/nm and http://MathForCollege.com/ma for more resources.
Follow the numerical methods blog at http://blog.AutarKaw.com.
You can also take a free massive open online course (MOOC) at https://canvas.instructure.com/enroll/KYGTJR
Please share these links with your friends and fellow students through social media and email.
Support the channel, if you are able to do so, at https://www.youtube.com/user/numericalmethodsguy/store
Download
0 formats
No download links available.
Chapter 01.05: Lesson: Background on Floating Point Representation using Base-10 | NatokHD