transform_exponential() [2/2]

template<OperationReadyData DataType>

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

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

Template Parameters

DataType

OperationReadyData type

Parameters

input	Input data - will NOT be modified
a	Scale factor
b	Exponential rate
working_buffer	Buffer for operations (will be resized if needed)
b	Exponential rate

Returns

Transformed data

Definition at line 218 of file MathematicalHelper.hpp.

{
    auto [target_data, structure_info] = OperationHelper::setup_operation_buffer(input, working_buffer);
 
    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);
            });
    }
 
    return OperationHelper::reconstruct_from_double<DataType>(working_buffer, structure_info);
}

References transform_exponential().

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