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Resolving Java Double Rounding Issues
In Java, performing calculations with double-precision floating-point numbers can sometimes lead to unexpected results due to rounding errors. To address this issue, it's essential to understand Java's floating-point arithmetic and adopt appropriate solutions.
When subtracting double values, small rounding errors may accumulate, resulting in incorrect calculations. Consider the following code snippet:
double tempCommission = targetPremium.doubleValue()*rate.doubleValue()/100d; double netToCompany = targetPremium.doubleValue() - tempCommission; double dCommission = request.getPremium().doubleValue() - netToCompany;
In this example, the expected commission result is 877.85, but the calculation yields 877.8499999999999 due to rounding errors.
Solution: Using BigDecimal
To ensure accurate calculations, it's recommended to use java.math.BigDecimal. This class provides precision floating-point arithmetic that addresses the limitations of double data types.
Rewriting the last line of code using BigDecimal:
BigDecimal commission = premium.subtract(netToCompany);
This approach eliminates rounding errors and produces the correct result:
System.out.println(commission + " = " + premium + " - " + netToCompany);
Output:
877.85 = 1586.6 - 708.75
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