Meaning
Numerical algorithms provide an efficient way to calculate the value of a polynomial by minimizing the number of multiplications required. Using horner scheme evaluation reduces the computational load on embedded processors found in industrial sensors and controllers. This method transforms a standard polynomial into a nested form that is easier for a machine to solve.
Computational Efficiency
Processing time is a critical factor in real time control systems that must react to changing physical inputs. The implementation of horner scheme evaluation allows a low power microcontroller to execute complex linearization curves in a fraction of the time required by traditional methods. This efficiency supports higher sampling rates and better system responsiveness.
Polynomial Logic
Accuracy in floating point arithmetic is improved by reducing the accumulation of rounding errors during the calculation. In a software routine employing horner scheme evaluation, the sequence of operations limits the growth of small errors that can occur when adding numbers of different magnitudes. This precision is mandatory for high resolution metrology applications.
Calculation Speed
Firmware developers use this technique to optimize the footprint of the code in memory limited devices. Because horner scheme evaluation requires only a single loop with one multiplication and one addition per degree of the polynomial, it is exceptionally simple to program. The simplicity of the logic makes the system easier to verify and test against safety standards.