عنوان

Uncertainty quantification in variational inequalities

9781315228969

E3505

انگلیسی

Uncertainty quantification in variational inequalities

theory, numerics, and applications

Joachim Gwinner ... [et. al.]

Boca Raton

Chapman & Hall/CRC Press

2022.

xviii, 386 p.

Includes bibliographical references and index.

"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 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. Features First book on uncertainty quantification 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"--

Measurement uncertainty (Statistics)

Variational inequalities (Mathematics)

Research

Methodology.

Gwinner, Joachim,

ایران

University of Tehran. Library of College of Science

20220601164816.0

rda

UT_SCI_BL_DB_1003740_0001.pdf

e

BL

278840

a

Y