Isbn: 9781032148496 - uncertainty quantification in variational inequalities: theory, numerics, and applications (23 risultati)

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Paperback. Condizione: New. Uncertainty Quantification (UQ) is an emerging and extremely active research discipline which aims to quantitatively treat any uncertainty in applied models. The primary objective of Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications is to present a comprehensive treatment of UQ in variational inequalities and some of its generalizations emerging from various network, economic, and engineering models. Some of the developed techniques also apply to machine learning, neural networks, and related fields.Features First book on UQ in variational inequalities emerging from various network, economic, and engineering models Completely self-contained and lucid in style Aimed for a diverse audience including applied mathematicians, engineers, economists, and professionals from academia Includes the most recent developments on the subject which so far have only been available in the research literature.…

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Condizione: New. 2024. 1st Edition. paperback. . . . . .

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Condizione: New. 2024. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

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Paperback. Condizione: Brand New. 404 pages. 9.19x6.13x9.21 inches. In Stock.

Condizione: New. Joachim Gwinner is a retired Professor at the University of the Federal Army Munich. He earned his Ph.D. from University Mannheim in 1978. Then he was with Daimler-Benz company at Stuttgart for six years. After that, he became an Assista.

Taschenbuch. Condizione: Neu. Neuware - Uncertainty Quantification (UQ) is an emerging and extremely active research discipline which aims to quantitatively treat any uncertainty in applied models. The primary objective of Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications is to present a comprehensive treatment of UQ in variational inequalities and some of its generalizations emerging from various network, economic, and engineering models. Some of the developed techniques also apply to machine learning, neural networks, and related fields.Features - First book on UQ in variational inequalities emerging from various network, economic, and engineering models - Completely self-contained and lucid in style - Aimed for a diverse audience including applied mathematicians, engineers, economists, and professionals from academia - Includes the most recent developments on the subject which so far have only been available in the research literature.…

Paperback. Condizione: New. Uncertainty Quantification (UQ) is an emerging and extremely active research discipline which aims to quantitatively treat any uncertainty in applied models. The primary objective of Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications is to present a comprehensive treatment of UQ in variational inequalities and some of its generalizations emerging from various network, economic, and engineering models. Some of the developed techniques also apply to machine learning, neural networks, and related fields.Features First book on UQ in variational inequalities emerging from various network, economic, and engineering models Completely self-contained and lucid in style Aimed for a diverse audience including applied mathematicians, engineers, economists, and professionals from academia Includes the most recent developments on the subject which so far have only been available in the research literature.…

Taschenbuch. Condizione: Neu. Uncertainty Quantification in Variational Inequalities | Theory, Numerics, and Applications | Akhtar A. Khan (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Taylor & Francis Ltd | EAN 9781032148496 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Paperback. Condizione: Brand New. 404 pages. 9.19x6.13x9.21 inches. In Stock. This item is printed on demand.