transform_exponential() [1/2]

template<OperationReadyData DataType>

DataType MayaFlux::Yantra::transform_exponential	(	DataType &	input,
		double	a,
		double	b,
		double	base = std::numbers::e
	)

Exponential transformation y = a * base^(b * x) (IN-PLACE)

Template Parameters

DataType

OperationReadyData type

Parameters

input	Input data - WILL BE MODIFIED
a	Scale factor
b	Exponential rate
base	Exponential base (default: e for natural exponential)

Returns

Transformed data

Definition at line 184 of file MathematicalHelper.hpp.

{
    auto [target_data, structure_info] = OperationHelper::extract_structured_double(input);
 
    for (auto& span : target_data) {
        std::ranges::transform(span, span.begin(),
            [a, b, base](double x) {
                if (base == std::numbers::e) {
                    return a * std::exp(b * x);
                }
                return a * std::pow(base, b * x);
            });
    }
 
    auto reconstructed_data = target_data
        | std::views::transform([](const auto& span) {
              return std::vector<double>(span.begin(), span.end());
          })
        | std::ranges::to<std::vector>();
 
    return OperationHelper::reconstruct_from_double<DataType>(reconstructed_data, structure_info);
}

References MayaFlux::Yantra::OperationHelper::extract_structured_double().

Referenced by transform_exponential(), and MayaFlux::Yantra::MathematicalTransformer< InputType, OutputType >::transform_implementation().

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