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Hardcover. Zustand: new. Hardcover. 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 computing, promoting robust, interpretable, and scalable methods. The works reflect major trends in scientific machine learning (SciML), including optimization, physics-informed learning, neural graph/operators/ODE, transformers, and generative models. Contributions propose physics-based constrained neural networks, advancements in optimization and model reduction, and applications across power systems, chemical kinetics, and biomechanics. Topics span from hybrid models for image classification to generative compression and neural operators for high-dimensional systems. Blending theory and practice, the volume captures the diversity and innovation shaping modern SciML.This volume is addressed to researchers and will provide readers with insight into the current state of the field, sparks new ideas, and encourages further research at the rich intersection of machine learning, mathematics, and scientific computing. This volume gathers peer-reviewed papers from the workshop Scientific Machine Learning: Emerging Topics, held at SISSA in Trieste, Italy. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 computing, promoting robust, interpretable, and scalable methods. The works reflect major trends in scientific machine learning (SciML), including optimization, physics-informed learning, neural graph/operators/ODE, transformers, and generative models. Contributions propose physics-based constrained neural networks, advancements in optimization and model reduction, and applications across power systems, chemical kinetics, and biomechanics. Topics span from hybrid models for image classification to generative compression and neural operators for high-dimensional systems. Blending theory and practice, the volume captures the diversity and innovation shaping modern SciML.This volume is addressed to researchers and will provide readers with insight into the current state of the field, sparks new ideas, and encourages further research at the rich intersection of machine learning, mathematics, and scientific computing. …

Zustand: New.

Hardcover. Zustand: Brand New. 226 pages. 6.47x0.64x9.34 inches. In Stock.

Paperback. Zustand: Brand New. 60 pages. Italian language. 8.70x5.87x0.28 inches. In Stock.

Zustand: New.

Taschenbuch. Zustand: Neu. Il teorema di Fritz John: | tre differenti approcci | Davide Torlo | Taschenbuch | 60 S. | Italienisch | 2019 | Edizioni Accademiche Italiane | EAN 9783639773088 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 computing, promoting robust, interpretable, and scalable methods. The works reflect major trends in scientific machine learning (SciML), including optimization, physics-informed learning, neural graph/operators/ODE, transformers, and generative models. Contributions propose physics-based constrained neural networks, advancements in optimization and model reduction, and applications across power systems, chemical kinetics, and biomechanics. Topics span from hybrid models for image classification to generative compression and neural operators for high-dimensional systems. Blending theory and practice, the volume captures the diversity and innovation shaping modern SciML.This volume is addressed to researchers and will provide readers with insight into the current state of the field, sparks new ideas, and encourages further research at the rich intersection of machine learning, mathematics, and scientific computing. 218 pp. Englisch.…

Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 computing, promoting robust, interpretable, and scalable methods. The works reflect major trends in scientific machine learning (SciML), including optimization, physics-informed learning, neural graph/operators/ODE, transformers, and generative models. Contributions propose physics-based constrained neural networks, advancements in optimization and model reduction, and applications across power systems, chemical kinetics, and biomechanics. Topics span from hybrid models for image classification to generative compression and neural operators for high-dimensional systems. Blending theory and practice, the volume captures the diversity and innovation shaping modern SciML.This volume is addressed to researchers and will provide readers with insight into the current state of the field, sparks new ideas, and encourages further research at the rich intersection of machine learning, mathematics, and scientific computing.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 228 pp. Englisch.…

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Zustand: New. PRINT ON DEMAND.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -I problemi di programmazione non lineare sono molto comuni in diversi ambiti, sia pratici quali, ad esempio, il campo economico, sia teorici. Per esempio, poniamo di avere una ditta che fabbrica due prodotti A e B, che hanno dei costi di produzione cA; cB, e dei tempi di produzione del singolo prodotto tA; tB, rispettivamente. Supponiamo di disporre di personale con dei costi in base al tempo di lavoro e al periodo (gli straordinari costeranno di piu), supponiamo anche di avere una ditta concorrente che produce gli stessi prodotti. Come facciamo a scegliere la giusta combinazione di produzione dei prodotti A e B per massimizzare i guadagni Oppure, come possiamo trovare la famiglia di tetraedri contenuti nella sfera unitaria con massimo volume 60 pp. Italienisch.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - I problemi di programmazione non lineare sono molto comuni in diversi ambiti, sia pratici quali, ad esempio, il campo economico, sia teorici. Per esempio, poniamo di avere una ditta che fabbrica due prodotti A e B, che hanno dei costi di produzione cA; cB, e dei tempi di produzione del singolo prodotto tA; tB, rispettivamente. Supponiamo di disporre di personale con dei costi in base al tempo di lavoro e al periodo (gli straordinari costeranno di piu), supponiamo anche di avere una ditta concorrente che produce gli stessi prodotti. Come facciamo a scegliere la giusta combinazione di produzione dei prodotti A e B per massimizzare i guadagni Oppure, come possiamo trovare la famiglia di tetraedri contenuti nella sfera unitaria con massimo volume.…

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -I problemi di programmazione non lineare sono molto comuni in diversi ambiti, sia pratici quali, ad esempio, il campo economico, sia teorici. Per esempio, poniamo di avere una ditta che fabbrica due prodotti A e B, che hanno dei costi di produzione cA; cB, e dei tempi di produzione del singolo prodotto tA; tB, rispettivamente. Supponiamo di disporre di personale con dei costi in base al tempo di lavoro e al periodo (gli straordinari costeranno di piu), supponiamo anche di avere una ditta concorrente che produce gli stessi prodotti. Come facciamo a scegliere la giusta combinazione di produzione dei prodotti A e B per massimizzare i guadagni Oppure, come possiamo trovare la famiglia di tetraedri contenuti nella sfera unitaria con massimo volume OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 60 pp. Italienisch.…