Boffi – Mixed finite elements, compatibility conditions, and applications
Libro adottato a Trieste, a.a. 2026/2027 · 4 canali
«Boffi – Mixed finite elements, compatibility conditions, and applications» è adottato per Numerical Analysis dal prof. Gianluigi Rozza (Data Science and Artificial Intelligence – sede di Trieste, Geophysics and Geodata – sede di Trieste – Trieste); per Numerical Analysis (Geophysics and Geodata – sede di Trieste – Trieste); per Applied Mathematics dal prof. Gianluigi Rozza (Mathematics – sede di Trieste – Trieste).
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Come lo indica il docente: D. Boffi, F. Brezzi, L. Demkowicz, R. Durán, R. Falk, and M. Fortin. Mixed finite elements, compatibility conditions, and applications. Lectures given at the C.I.M.E. Summer School held in Cetraro, Italy June 26–July 1, 2006. Springer Verlag, 2008
Chi lo adotta
Numerical Analysis – Prof. Gianluigi Rozza (canale unico)Data Science and Artificial Intelligence – sede di Trieste · Laurea magistrale (LM Data) · esame facoltativo · Data Science and Artificial Intelligence for Industry and Digital Twins · 6 CFU
Numerical Analysis – docente non ancora indicato (canale 2)Geophysics and Geodata – sede di Trieste · Laurea magistrale (LM-79) · esame facoltativo · 6 CFU
Argomenti del programma: Four Modules of 12h each (1.5 CFU for each module), for a total of 48h, 6 CFU Frontal Lectures Module 1 (Basis of Numerical Analysis) Well posedness, condition numbers Polynomial based approximations (Power basis interpolation, Lagrange interpolation, Weierstrass approximation theorem) Interpolatory Quadrature rules Orthogonal polynomials and Gauss Quadrature Formulas L2 projection Review of elementary PDEs…
Argomenti del programma: Four Modules of 12h each (1.5 CFU for each module), for a total of 48h, 6 CFU Frontal Lectures Module 1 (Basis of Numerical Analysis) Well posedness, condition numbers Polynomial based approximations (Power basis interpolation, Lagrange interpolation, Weierstrass approximation theorem) Interpolatory Quadrature rules Orthogonal polynomials and Gauss Quadrature Formulas L2 projection Review of elementary PDEs…
Argomenti del programma: Four Modules of 12h each (1.5 CFU for each module), for a total of 48h, 6 CFU Frontal Lectures Module 1 (Basis of Numerical Analysis) Well posedness, condition numbers Polynomial based approximations (Power basis interpolation, Lagrange interpolation, Weierstrass approximation theorem) Interpolatory Quadrature rules Orthogonal polynomials and Gauss Quadrature Formulas L2 projection Review of elementary PDEs…
Argomenti del programma: Four Modules of 12h each (1.5 CFU for each module), for a total of 48h, 6 CFU Frontal Lectures Module 1 (Basis of Numerical Analysis) Well posedness, condition numbers Polynomial based approximations (Power basis interpolation, Lagrange interpolation, Weierstrass approximation theorem) Interpolatory Quadrature rules Orthogonal polynomials and Gauss Quadrature Formulas L2 projection Review of elementary PDEs…