Federico Pichi – författare
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5 produkter
Real Time Reduced Order Computational Mechanics
Parametric PDEs Worked Out Problems
Av Gianluigi Rozza, Francesco Ballarin m. fl.
Inbunden, 2024
1306 kr
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The book is made up by several worked out problems concerning the application of reduced order modeling to different parametric partial differential equations problems with an increasing degree of complexity.This work is based on some experience acquired during lectures and exercises in classes …
Real Time Reduced Order Computational Mechanics
Parametric PDEs Worked Out Problems
Av Federico Pichi, Leonardo Scandurra m. fl.
E-bok, 2024
1785 kr
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The book is made up by several worked out problems concerning the application of reduced order modeling to different parametric partial differential equations problems with an increasing degree of complexity. This work is based on some experience acquired during lectures and exercises in classes …
Real Time Reduced Order Computational Mechanics
Parametric PDEs Worked Out Problems
Av Gianluigi Rozza, Francesco Ballarin m. fl.
Häftad, 2025
1316 kr
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The book is made up by several worked out problems concerning the application of reduced order modeling to different parametric partial differential equations problems with an increasing degree of complexity.This work is based on some experience acquired during lectures and exercises in classes …
Scientific Machine Learning
Emerging Topics
Av Federico Pichi, Gianluigi Rozza m. fl.
Inbunden, 2026
2406 kr
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This volume gathers peer-reviewed papers from the workshop Scientific Machine Learning: Emerging Topics, held at SISSA in Trieste, Italy. The event gathered leading researchers in mathematics, algorithms, and machine learning. Its goal was to advance the synergy between data-driven models and …
Scientific Machine Learning
Emerging Topics
Av Davide Torlo, Maria Strazzullo m. fl.
E-bok, 2026
3251 kr
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This volume gathers peer-reviewed papers from the workshop Scientific Machine Learning: Emerging Topics, held at SISSA in Trieste, Italy. The event gathered leading researchers in mathematics, algorithms, and machine learning. Its goal was to advance the synergy between data-driven models and …
