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SMART - Shape Modelling, Approximation and Refinability Towards new computational techniques.

, , , and . Appl. Math. Comput., (April 2024)

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Teaching Mathematics in Scientific Bachelor Degrees Using a Blended Approach., , , and . COMPSAC, page 190-195. IEEE, (2020)h-Bernstein basis functions over a triangular domain., , , and . Comput. Aided Geom. Des., (2020)Trivariate near-best blending spline quasi-interpolation operators., , , and . Numer. Algorithms, 78 (1): 217-241 (2018)Solving boundary value problems via the Nyström method using spline Gauss rules., , , , and . Comput. Math. Appl., (2023)SMART - Shape Modelling, Approximation and Refinability Towards new computational techniques., , , and . Appl. Math. Comput., (April 2024)Construction of 2D explicit cubic quasi-interpolating splines in Bernstein-Bézier form., , , and . CoRR, (2024)Constructing Good Coefficient Functionals for Bivariate C1 Quadratic Spline Quasi-Interpolants.. MMCS, volume 5862 of Lecture Notes in Computer Science, page 329-346. Springer, (2008)Point and differential C1 quasi-interpolation on three direction meshes., , , and . J. Comput. Appl. Math., (2019)Low-degree spline quasi-interpolants in the Bernstein basis., , , and . Appl. Math. Comput., (November 2023)Numerical solution of nonlinear Fredholm-Hammerstein integral equations with logarithmic kernel by spline quasi-interpolating projectors., , and . Math. Comput. Simul., (2024)