norm.hpp

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// Copyright (c) 2023-2024 Simons Foundation
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0.txt
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
// Authors: Thomas Hahn, Nils Wentzell
 
#pragma once
 
#pragma once
 
#include "../algorithms.hpp"
#include "../basic_functions.hpp"
#include "../blas/dot.hpp"
#include "../concepts.hpp"
#include "../mapped_functions.hxx"
#include "../traits.hpp"
 
#include <cmath>
#include <complex>
#include <limits>
 
namespace nda {
 
  template <ArrayOfRank<1> A>
  double norm(A const &a, double p = 2.0) {
    static_assert(Scalar<get_value_t<A>>, "Error in nda::norm: Only scalar value types are allowed");
 
    if (p == 2.0) [[likely]] {
      if constexpr (MemoryArray<A>)
        return std::sqrt(std::real(nda::blas::dotc(a, a)));
      else
        return norm(make_regular(a));
    } else if (p == 1.0) {
      return sum(abs(a));
    } else if (p == 0.0) {
      long count = 0;
      for (long i = 0; i < a.size(); ++i) {
        if (a(i) != get_value_t<A>{0}) ++count;
      }
      return double(count);
    } else if (p == std::numeric_limits<double>::infinity()) {
      return max_element(abs(a));
    } else if (p == -std::numeric_limits<double>::infinity()) {
      return min_element(abs(a));
    } else {
      return std::pow(sum(pow(abs(a), p)), 1.0 / p);
    }
  }
 
} // namespace nda