Influence of choice for <i>τ</i><sub><i>est</i></sub> on accuracy of recovered <i>C</i>.

<p><b>A</b> Best estimated matrices <i>C</i> for <i>τ</i><sub><i>est</i></sub> = 0, 0.1, 1 and 5 s. For <i>τ</i><sub><i>est</i></sub> = 1, the <i>C</i> matrix at the end of the optimization (step 10000) is also shown. <b>B</b> Evolution of <i>Q</i> errors for the optimizations with various <i>τ</i><sub><i>est</i></sub> in A. bf C <i>C</i> errors corresponding to the best matrices in A (red solid curve), as well as last matrices of the optimization (red dashed curve). The green curve indicates the error of the best <i>C</i> with the symmetric part of the original <i>C</i>. The blue curve indicates the error between the empirical and the corresponding theoretical matrix. <b>D</b> Pearson correlation coefficient between the best and original <i>C</i> (red) as well as reconstructed and objective <i>Q</i><sup>0/<i>τ</i></sup>. between and each corresponding theoretical <i>Q</i><sup><i>τ</i></sup> matrix for the same <i>τ</i> = <i>τ</i><sub><i>est</i></sub> in C. <b>E</b> Comparison between LO with empirical calculated with <a href="" target="_blank">Eq (2)</a> (red solid curve) and LO with theoretical obtained from <a href="" target="_blank">Eq (7)</a> (red dashed curve). The blue curve indicates the inaccuracy between the empirical and theoretical <i>Q</i><sup><i>τ</i></sup> matrices. <b>F</b> Same as B for the <i>Q</i> error with theoretical objectives .</p>