Abstract We present a subsampling strategy for the offline stage of Reduced Basis Method. The approach is aimed at bringing down considerable costs associated with using finely-sampled training set. proposed algorithm exploits potential pivoted QR decomposition and discrete empirical interpolation method to identify important parameter samples. It consists two stages. In first stage, we constru...

To solve the issues with conventional level set segmentation algorithms, which are sensitive to initial contours and less noise-resistant, a model based on coupling of texture information structural is developed. In this model, rotation invariant mask produced by fractional-order differentiation used first describe image’s global information. Then, power function energy generalization solved ap...

A common requirement in optimal control problems arising autonomous navigation is that the decision variables are constrained to be outside certain sets. Such set exclusion constraints represent obstacles must avoided by motion system. This paper presents a simple and efficient method for solving optimization with general implicit constraints. The embeds quadratic penalty framework solves inner...