Additional Notes
Understanding Precision Issues with Floating Point Types?
Track: Java
Topic: Core Java
Focus: BigDecimal and Money
Java: BigDecimal and Money
Answer
Floating point types can lead to precision errors in calculations.
Floating point types like float and double can introduce small errors in calculations due to their binary representation. This can be problematic in financial calculations where exact values are crucial. For example, the result of adding 0.1 and 0.2 using double may not precisely be 0.3.
Floating point types like float and double can introduce small errors in calculations due to their binary representation. This can be problematic in financial calculations where exact values are crucial. For example, the result of adding 0.1 and 0.2 using double may not precisely be 0.3.
Topics: BigDecimal and Money Core Java Java