I have a situation in which some numerical results (involving floating point arithmetic with double
and float
) become incorrect for large input sizes, but not for small ones.
In general, I would like to know which tools are available to diagnose conditions such as numerical overflows and problematic loss of precision.
In other words: Is there a tool which complains about overflows etc. the same way valgrind complains about memory errors?
In general, a floating point overflow occurs whenever the value being assigned to a variable is larger than the maximum possible value for that variable.
The rules for detecting overflow in a two's complement sum are simple: If the sum of two positive numbers yields a negative result, the sum has overflowed. If the sum of two negative numbers yields a positive result, the sum has overflowed. Otherwise, the sum has not overflowed.
You can run into computations that lead to division by zero when you are working on an array using a for loop. One of the best ways to do this is to check if the denominator is zero before you divide. This will avoid the floating-point exception error.
Integer Overflow occurs when we attempt to store a value greater than the data type's largest value. Similarly, Integer Underflow occurs when we attempt to store a value that is less than the least value of the data type. We can detect these overflows and underflows either mathematically (or) programmatically.
If you enable floating point exceptions, then the FPU can throw an exception on overflow. How exactly this works is operating system dependent. For example:
feenableexcept(FE_ALL_EXCEPT)
in your main
. To enable overflow and divide by zero, call feenableexcept(FE_OVERFLOW | FE_DIVBYZERO)
.Note that, in all cases, third-party code may disable exceptions that you've enabled; this is probably rare in practice.
This is probably not quite as nice as Valgrind, since it's more of a drop-to-debugger-and-manually-inspect than it is a get-a-nice-summary-at-the-end, but it works.
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