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HomeBackend DevelopmentC++What is the representation of decimals in C language?

C language uses floating point number type to represent decimals. The number of decimal places can be specified in decimal point form or scientific notation, where f/F represents single precision and d/D represents double precision. It is recommended to use double precision for high precision. Precision operations, please note that floating point numbers have limited precision, and rounding errors need to be considered when comparing floating point numbers.

What is the representation of decimals in C language?

Representing decimals in C language

Floating point number type can be used to represent decimals in C language. Floating point numbers have a much larger range than integers, including decimals and many digits after the decimal point.

Floating point number suffix

In C language, floating point number suffix has two forms:

  • f or F: represents a single-precision floating-point number, which usually occupies 32-bit memory
  • d or D: represents a double-precision floating-point number, which usually occupies 64-bit memory

Decimal form

Decimals can be expressed in two ways in C language:

  • Decimal point form: Use a decimal point directly after the number, such as 1.23
  • Scientific notation form: Use "e" or "E" to represent the exponent, such as 1.23e2 represents 1.23 * 10^2

Example

The following are some examples of floating point numbers representing decimals:

  • 3.14f: Single precision floating point number, representing π Value
  • 123.456789: Double precision floating point number, representing a larger decimal number
  • 6.022141e23: Scientific notation form, representing Avogadro's constant

Notes

  • Floating point numbers have limited precision and may cause rounding errors.
  • Single-precision floating-point numbers have lower precision. For calculations involving high precision, it is recommended to use double-precision floating-point numbers.
  • Comparison operations of floating point numbers may produce erroneous results due to rounding errors, so floating point numbers need to be compared with caution.

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