Parra, and F. J. Toledo. Critical objective size and calmness modulus in linear programming. Set-Valued Var. Anal., 24(4):565-579, 2016.Canovas MJ, Henrion R, Parra J, Toledo FJ. Critical objective size and calmness modulus in linear programming, Set-Valued Var. Anal., to appear
On the basis of the experimental results of Mr, the models discussed in “Nonlinear models” section were calibrated to determine the constant coefficients of each model (i.e., K1, K2, and K3) and to evaluate their appropriateness in expressing the nonlinear behavior of raw and cement-stabili...
Genetic algorithms (GA) employ strings of fixed length. Koza proposed an alternate approach called genetic programming (GP) in addition to extending GA88,89,90. GP has an effective machine-learning technique thanks to the addition of a spatial parser structure. Nonetheless, only tree crossover is...
Dongdong Liu& Seak-Weng Vong 99Accesses Explore all metrics Abstract In this paper, we investigate the global uniqueness and solvability for the third-order tensor linear complementarity problems. Furthermore, we transform equivalently this type of complementarity problems into the modulus equations and...
And that's it for this blogpost. This should be sufficient to solve most integer-based FFT problems in competitive programming. Note that if you need negative numbers in your polynomials, you can input them modulomm, then assume any integer in the output that exceedsm/2m/2is negative; this...
But it doesn't work well in practice as this bound is too weak. The prime with the highest cost is 3: c o s t 3 = 0.55 so in order to get the first few terms we need b m < 0.55 meaning m > 13. This does not improve upon the issue with the finite knapsack approach, we ...
This is substantially corroborated by the exponential increase in the number of research findings currently associated with their subject matter [1, 2, 3]. Most significantly, the effort of researchers in the areas that are greatly concerned with providing economically viable and effective solutions ...
Model is sampled with 6000 samples in two chains using default NUTS sampler. First 1000 samples from each chain are burned to avoid autocorrelation, so 4000 samples are used to create the posteriors. Statistics data for posterior distributions is summarized in Table 1. Indicator r_hat = 1...
(SI), Willmott’s index of agreement (WI), RMSE-observation standard deviation ratio (RSR), and weighted mean absolute percentage error (WMAPE), to assess the precision of the trained and tested models. In addition, a performance index (PI), which is based on R and RMSE, has been used...
(iv) Ser. No. 09/879,671, still pending, by B. T. Hunt and S. R. Humphreys entitled True Single-Phase Flip-Flop; which non-provisional applications are assigned to the assignee of the present invention, and are hereby incorporated in the present application as if set forth in their en...