ordering operations poorly so errors build up | has testing strategy - if a numerical application is designed to work with floating-point numbers, then make sure it works with inputs that vary widely in magnitude, including both large positive and large negative exponents
- pay particular attention to the accuracy of the result when a floating point value is being repeatedly decremented or incremented by small amounts
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is a subtopic of 10.4 - Defects in Numerical Algorithms |  |
is a kind of defect in a numerical algorithm |  |
occurs when you do small operations on large floating point numbers, and excessive rounding or truncation errors build up |  |
defect | has example the absence of code to handle an exception |  |
problem | has solution which will normally entail developing software, although you may decide that it is better to purchase software or to develop a non-software solution |  |
should be written as a simple problem statement in one or two sentences |  |