Divisional Algorithm of Experiment Variation Function

摘要

To optimize the algorithm and improve the efficiency of calculating of Experimental Variation Function (EVF), this paper introduces a divisional algorithm of EVF, converting the coordinates of samples based on Bursa-Wolf model, and calculating the variation function along any direction by grid-segmenting method. By comparing the times of calculation between conventional algorithm and divisional algorithm, the relational expression of times of the two algorithms is obtained. Experimental results indicate that under the conditions of large-sample the calculation times of divisional algorithm is less than that of conventional algorithm, and the calculation results are credible.