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The role of float in java

May 01, 2024 pm 05:31 PM
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The float data type in Java is used to represent floating point numbers with a decimal part ranging from ±3.40282347E 38 to -1.4E-45 with a precision of approximately 7 significant digits. Floats are suitable for representing physical quantities (such as temperature, distance), probabilities, and approximations in scientific calculations. Compared with double, float has a smaller range and precision, and takes up less memory. It is suitable for situations where precision requirements are not high and memory is limited.

The role of float in java

The role of float in Java

In the Java programming language, the float data type is used to represent floating point numbers. It is a 32-bit primitive data type that can represent numeric values ​​with a fractional part.

Applicable scenarios for float

The float data type is usually used to represent:

  • Physical quantities with fractional parts, such as temperature and distance.
  • Probability and percentage.
  • Approximation in scientific calculations.

Range and precision of float

  • Range: ±3.40282347E 38 to -1.4E-45 (approximately) .
  • Precision: 7 significant digits (approximately).

The difference between float and double

float and double are both data types used to represent floating point numbers, but there are some key differences between them:

  • Range and precision: The range and precision of double are larger than float. The range of double is ±1.7976931348623157E 308 to -4.9406564584124654E-324, with a precision of 15-16 significant digits.
  • Memory usage: Double requires 64 bits of storage space, while float only requires 32 bits.

When to use float

The float data type is more appropriate in the following situations:

  • When extremely high data is not required accuracy.
  • When memory is limited.
  • When a large number of floating point numbers need to be stored.

When to use double

It is more appropriate to use the double data type in the following situations:

  • When extremely high accuracy.
  • When the range of floating point numbers exceeds the range of float.
  • When performance requirements are not a critical factor.

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