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Existing Eiffel software uses the string classes (such as STRING_8) from the Eiffel libraries, but Eiffel software written for .NET must use the .NET string class (System.String) in many cases, for example when calling .NET methods which expect items of the .NET type to be passed as arguments. So, the conversion of these types back and forth ...
Double-precision floating-point format (sometimes called FP64 or float64) is a floating-point number format, usually occupying 64 bits in computer memory; it represents a wide range of numeric values by using a floating radix point. Double precision may be chosen when the range or precision of single precision would be insufficient.
This gives from 33 to 36 significant decimal digits precision. If a decimal string with at most 33 significant digits is converted to the IEEE 754 quadruple-precision format, giving a normal number, and then converted back to a decimal string with the same number of digits, the final result should match the original string.
[73]: 284 Code using the empty interface cannot simply call methods (or built-in operators) on the referred-to object, but it can store the interface {} value, try to convert it to a more useful type via a type assertion or type switch, or inspect it with Go's reflect package. [80]
If a decimal string with at most 6 significant digits is converted to the IEEE 754 single-precision format, giving a normal number, and then converted back to a decimal string with the same number of digits, the final result should match the original string. If an IEEE 754 single-precision number is converted to a decimal string with at least 9 ...
C source code to convert between IEEE double, single, and half precision can be found here; Java source code for half-precision floating-point conversion; Half precision floating point for one of the extended GCC features
C99 for code examples demonstrating access and use of IEEE 754 features Floating-point arithmetic , for history, design rationale and example usage of IEEE 754 features Fixed-point arithmetic , for an alternative approach at computation with rational numbers (especially beneficial when the exponent range is known, fixed, or bound at compile time)
Extended precision refers to floating-point number formats that provide greater precision than the basic floating-point formats. [1] Extended-precision formats support a basic format by minimizing roundoff and overflow errors in intermediate values of expressions on the base format.