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Uncertainty Quantification in Variational Inequalities

Theory, Numerics, and Applications

Khan, Akhtar A. & Jadamba, Baasansuren (Rochester Institute of Technology, New York, USA) & Raciti, Fabio & Gwinner, Joachim

Uncertainty Quantification in Variational Inequalities

Uncertainty Quantification in Variational Inequalities

Theory, Numerics, and Applications

Uncertainty Quantification in Variational Inequalities

 

The primary objective of this book is to present a comprehensive treatment of uncertainty quantification in variational inequalities and some of its generalizations emerging from various network, economic, and engineering models.


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Beschrijving Uncertainty Quantification in Variational Inequalities

The primary objective of this book is to present a comprehensive treatment of uncertainty quantification 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.


ISBN
9781138626324
Pagina's
404
Verschenen
Rubriek
Exacte wetenschappen/natuurwetenschappen
Druk
1
Uitvoering
Hardback
Taal
Engels
Uitgever
Taylor & Francis Ltd

Exacte wetenschappen/natuurwetenschappen