underflows

the software crashed due to floating-point underflows during the calculation.

we need to handle potential underflows in the financial model to avoid inaccurate results.

the algorithm experienced underflows when dealing with very small numbers.

careful consideration of underflows is crucial in scientific computing applications.

the system detected underflows in the memory allocation process.

underflows can significantly impact the accuracy of numerical simulations.

we implemented error handling to gracefully manage underflows in the data processing pipeline.

the code was modified to prevent underflows by scaling the input values.

underflows are a common problem in iterative algorithms that converge to zero.

the simulation results were affected by numerical underflows in the matrix operations.

we added checks to identify and mitigate the effects of underflows in the calculations.