transform_logarithmic() [1/2]

template<OperationReadyData DataType>

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

Logarithmic transformation y = a * log_base(b * x + c) (OUT-OF-PLACE)

Template Parameters

DataType

OperationReadyData type

Parameters

input	Input data - will NOT be modified
a	Scale factor
b	Input scale factor
c	Offset to ensure positive argument
working_buffer	Buffer for operations (will be resized if needed)

Returns

Transformed data

Definition at line 282 of file MathematicalHelper.hpp.

{
    auto [target_data, structure_info] = OperationHelper::setup_operation_buffer(input, working_buffer);
 
    double log_base_factor = (base == std::numbers::e) ? 1.0 : (1.0 / std::log(base));
 
    for (auto& span : target_data) {
        std::ranges::transform(span, span.begin(),
            [a, b, c, log_base_factor](double x) {
                double arg = b * x + c;
                if (arg <= 0.0)
                    return 0.0;
                return a * std::log(arg) * log_base_factor;
            });
    }
 
    return OperationHelper::reconstruct_from_double<DataType>(working_buffer, structure_info);
}

References transform_logarithmic().

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