Floating Point Representation (CHAPTER 01.05)
Accuracy of floating point binary numbers: The machine epsilon
Summary
In this video, we discuss the concept of machine epsilon, which is a measure of the absolute relative true error in representing a number in a computer.
Learning Objective
After watching this lecture, you will be able to calculate the machine epsilon and relate it to the absolute relative true error in representing a number in binary floating-point format. Scientific calculations in a computer are done in a floating-point binary format.
Transcript
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Annotated Slides
All Videos for this Topic
Floating Point Representation Background: Part 1 of 3 [YOUTUBE 7:37]
Floating Point Representation Background: Part 2 of 3 [YOUTUBE 10:43]
Floating Point Representation Background: Part 3 of 3[ YOUTUBE 1:58]
Floating Point Representation: Example: [YOUTUBE 7:50]
Floating Point Representation – Biased Exponent: Example[YOUTUBE 8:51]
IEEE-754 Single Precision Representation: Part 1 of 2 [YOUTUBE 4:57]
IEEE-754 Single Precision Representation: Part 2 of 2 [YOUTUBE 8:38]
Complete Resources
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