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  2. Type conversion - Wikipedia

    en.wikipedia.org/wiki/Type_conversion

    This odd behavior is caused by an implicit conversion of i_value to float when it is compared with f_value. The conversion causes loss of precision, which makes the values equal before the comparison. Important takeaways: float to int causes truncation, i.e., removal of the fractional part. double to float causes rounding of digit.

  3. C++14 - Wikipedia

    en.wikipedia.org/wiki/C++14

    C++14 allows the creation of variables that are templated. An example given in the proposal is a variable pi that can be read to get the value of pi for various types (e.g., 3 when read as an integral type; the closest value possible with float, double or long double precision when read as float, double or long double, respectively; etc.).

  4. Double-precision floating-point format - Wikipedia

    en.wikipedia.org/wiki/Double-precision_floating...

    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. In the IEEE ...

  5. C data types - Wikipedia

    en.wikipedia.org/wiki/C_data_types

    Information about the actual properties, such as size, of the basic arithmetic types, is provided via macro constants in two headers: <limits.h> header (climits header in C++) defines macros for integer types and <float.h> header (cfloat header in C++) defines macros for floating-point types. The actual values depend on the implementation.

  6. Library of Efficient Data types and Algorithms - Wikipedia

    en.wikipedia.org/wiki/Library_of_Efficient_Data...

    The bigfloat type improves on the C++ floating-point types by allowing for the significand (also commonly called mantissa) to be set to an arbitrary level of precision instead of following the IEEE standard. LEDA's real type allows for precise representations of real numbers, and can be used to compute the sign of a radical expression. [1]

  7. Matrix Template Library - Wikipedia

    en.wikipedia.org/wiki/Matrix_Template_Library

    The Matrix Template Library (MTL) is a linear algebra library for C++ programs.. The MTL uses template programming, which considerably reduces the code length.All matrices and vectors are available in all classical numerical formats: float, double, complex<float> or complex<double>.

  8. Data structure alignment - Wikipedia

    en.wikipedia.org/wiki/Data_structure_alignment

    A double (eight bytes) will be 8-byte aligned. A long long (eight bytes) will be 8-byte aligned. A long double (eight bytes with Visual C++, sixteen bytes with GCC) will be 8-byte aligned with Visual C++ and 16-byte aligned with GCC. Any pointer (eight bytes) will be 8-byte aligned. Some data types are dependent on the implementation.

  9. Type punning - Wikipedia

    en.wikipedia.org/wiki/Type_punning

    In addition to the assumption about bit-representation of floating-point numbers, the above floating-point type-punning example also violates the C language's constraints on how objects are accessed: [3] the declared type of x is float but it is read through an expression of type unsigned int.