lpnorm

eve::lpnorm = functor<lpnorm_t>

inlineconstexpr

Defined in Header

#include <eve/module/math.hpp>

Callable Signatures

namespace eve
{
   // Regular overload
   constexpr auto lpnorm(floating_value auto p, floating_value auto x,floating_value auto... xs )                         noexcept; // 1
 
   // Lanes masking
   constexpr auto lpnorm[conditional_expr auto c](loating_value auto p, floating_value auto x,floating_value auto... xs)  noexcept; // 2
   constexpr auto lpnorm[logical_value auto m](loating_value auto p, floating_value auto x,floating_value auto... xs)     noexcept; // 2
 
}

Parameters

• p: floating value
• x, ... xs: floating values
• c: Conditional expression masking the operation.
• m: Logical value masking the operation.

Return value

1. \( \left(\sum_{i = 0}^n |x_i|^p\right)^{\frac1p} \).
2. The operation is performed conditionnaly

Example

// revision 1
#include <eve/module/math.hpp>
#include <iostream>
#include <iomanip>
 
int main()
{
  eve::wide x = {eve::nan(eve::as<float>()), 1.0f, 1.0f, 1.0f};
  eve::wide y = {-1.5f, 2.9f, 3.5f, -11.0f};
  eve::wide z = { eve::inf(eve::as(1.0f)), -2.0f, 1.0f, 15.0f};
  eve::wide p = { 3.2f, 3.0f, 2.0f, eve::inf(eve::as(1.0f))};
 
  std::cout << std::setprecision(5) << '\n';
  std::cout << "<- p                            = " << p  << '\n';
  std::cout << "<- x                            = " << x  << '\n';
  std::cout << "<- y                            = " << y  << '\n';
  std::cout << "<- z                            = " << z  << '\n';
  std::cout << "-> lpnorm(p, x, y, z)           = " << eve::lpnorm(p, x, y, z) << '\n';
  std::cout << "-> lpnorm[pedantic](p, x, y, z) = " << eve::lpnorm[eve::pedantic](p, x, y, z) << '\n';
}