Lectures (Video)
- 1. On Solving an Engineering Problem 1
- 2. On Solving an Engineering Problem 2
- 3. Mathematical Procedures 1
- 4. Mathematical Procedures 2
- 5. True Error
- 6. Relative True Error
- 7. Approximate Error
- 8. Relative Approximate Error
- 9. Round-off Error
- 10. Significant Digits
- 11. Truncation Error
- 12. Truncation Error Example 1
- 13. Truncation Error: Example 2
- 14. Truncation Error: Example 3
- 15. Introduction to Binary Representation
- 16. Conversion Method 1
- 17. Conversion Method 2
- 18. Background 1
- 19. Background 2
- 20. Background 3
- 21. Example
- 22. Biased Exponent Example
- 23. Single Precision 1
- 24. Single Precision 2
- 25. Propagation of errors
- 26. Taylor Series Intro
- 27. Taylor Series Example
- 28. Example 1
- 29. Example 2
Introduction to Scientific Computing - Lecture 21
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Lecture 21 - Example
FLOATING POINT REPRESENTATION OF NUMBERS
Prof Autar Kaw
Introduction to Scientific Computing (Holistic Numerical Methods Institute, University of South Florida) http://numericalmethods.eng.usf.edu Date accessed: 2010-07-09 License: Creative Commons BY-NC-SA |
Lecture Material
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Supplementary lecture material is listed below.1. Textbook notes on floating point representation of numbers
2. Worksheet for decimal to floating point representation
3. Worksheet for floating point to decimal representation
4. Test your knowledge on floating point representation of numbers
