Next: Getting Accuracy, Up: FP Math Caution [Contents][Index]
Binary floating-point representations and arithmetic are inexact. Simple values like 0.1 cannot be precisely represented using binary floating-point numbers, and the limited precision of floating-point numbers means that slight changes in the order of operations or the precision of intermediate storage can change the result. To make matters worse, with arbitrary-precision floating-point arithmetic, you can set the precision before starting a computation, but then you cannot be sure of the number of significant decimal places in the final result.
• Inexact representation: | Numbers are not exactly represented. | |
• Comparing FP Values: | How to compare floating point values. | |
• Errors accumulate: | Errors get bigger as they go. |