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Showing content from https://en.cppreference.com/w/cpp/language/../algorithm/../ranges/../numeric/math/isnormal.html below:

std::isnormal - cppreference.com

(1) bool isnormal( float num ); bool isnormal( double num ); bool isnormal( long double num ); (since C++11)
(until C++23)

constexpr bool isnormal( /*floating-point-type*/ num );

(since C++23) template< /*math-floating-point*/ V > constexpr typename /*deduced-simd-t*/<V>::mask_type isnormal ( const V& v_num ); (S) (since C++26)

template< class Integer > bool isnormal( Integer num );

(A) (since C++11)
(constexpr since C++23)

1) Determines if the given floating point number num is normal, i.e. is neither zero, subnormal, infinite, nor NaN. The library provides overloads for all cv-unqualified floating-point types as the type of the parameter num.(since C++23)

A) Additional overloads are provided for all integer types, which are treated as double.

[edit] Parameters num - floating-point or integer value v_num - a data-parallel object of std::basic_simd specialization where its element type is a floating-point type [edit] Return value

1) true if num is normal, false otherwise.

S) A data-parallel mask object where the i^th element equals true if v_num[i] is normal or false otherwise for all i in the range [â0â, v_num.size()).

[edit] Notes

The additional overloads are not required to be provided exactly as (A). They only need to be sufficient to ensure that for their argument num of integer type, std::isnormal(num) has the same effect as std::isnormal(static_cast<double>(num)).

[edit] Example

#include <cfloat>
#include <cmath>
#include <iostream>
 
int main()
{
    std::cout << std::boolalpha
              << "isnormal(NaN) = " << std::isnormal(NAN) << '\n'
              << "isnormal(Inf) = " << std::isnormal(INFINITY) << '\n'
              << "isnormal(0.0) = " << std::isnormal(0.0) << '\n'
              << "isnormal(DBL_MIN/2.0) = " << std::isnormal(DBL_MIN / 2.0) << '\n'
              << "isnormal(1.0) = " << std::isnormal(1.0) << '\n';
}

Output:

isnormal(NaN) = false
isnormal(Inf) = false
isnormal(0.0) = false
isnormal(DBL_MIN/2.0) = false
isnormal(1.0) = true

[edit] See also

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