Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications - Image 1

£107.97

CRC Press Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications

Name: Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications
Brand: CRC Press
Price: 107.97 GBP
Availability: InStock

Information Systems

This is the most expensive it has ever been. Walk away.

£108 today · previous high £108 · all-time low £62

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 588 days • 588 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 588 days • 5 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £90-99 (455 days, 77.4%)

Price range: £62 - £108

Price levels: 5 price ranges over 588 days

Description

Uncertainty Quantification (UQ) is an emerging and extremely active research discipline which aims to quantitatively delineate any uncertainty in applied models. The primary objective of this book is to present a comprehensive treatment of uncertainty quantification in variational inequalities (and some of its generalizations such as quasi-variational inequalities) emerging from various network, economic, and engineering models. About the Author B. Jadamba is affiliated with the School of Mathematical Sciences, Rochester Institute of Technology, Rochester, New York. Her primary research interest is in uncertainty quantification in network models, variational inequalities, and inverse problems. She has published more than 30 scientific papers. Akhtar Khan, an Associate Professor at the School of Mathematical Sciences, Rochester Institute of Technology, Rochester, New York, focuses on set-valued optimization, variational and quasi-variational inequalities, inverse problems and uncertainty quantification. He is the co-author of the monograph Set-Valued Optimization: Theory, methods and applications, published by Springer in 2014. Khan is the Associate Editor of the prestigious international journals Optimization and Journal of Optimization Theory and Applications. He has published more than 60 scientific papers. Fabio Raciti is associated with the Department of Mathematics and Computer Science of the University of Catania, Italy, where he also teaches various calculus courses for engineering students. In 2013 he obtained the rank ( Italian habilitation) of associate professor of Operations Research. He is an Associated Editor of the journal Optmization. His research interests are in uncertainty quantification in network models, variational inequalities, duality theory, set convergence, inverse problems, and quantum mechanics. He has published more than 50 research papers

Product Specifications

Brand: CRC Press
Format: Hardcover
ASIN: 1138626325
Category: Books > Subjects > Computing & Internet > Computer Science > Information Systems
Domain: Amazon UK
Release Date: 21 December 2021
Listed Since: 27 September 2016

Barcode

No barcode data available

CRC Press Uncertainty Quantification in Variational Inequalities: Theory, Numerics, and Applications

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Variational Analysis and Set Optimization: Developments and Applications in Decision Making

Proceedings of International Conference on Scientific and Natural Computing: Proceedings of SNC 2021 (Algorithms for Intelligent Systems)

Variational Analysis and Applications (Springer Monographs in Mathematics)

Optimization―Theory and Applications: Problems with Ordinary Differential Equations: 17 (Stochastic Modelling and Applied Probability, 17)

Computational Intelligence and Optimization Methods for Control Engineering: 150 (Springer Optimization and Its Applications, 150)

Convex Analysis and Global Optimization: 22 (Nonconvex Optimization and Its Applications, 22)

Uncertainty Quantification using R: 335 (International Series in Operations Research & Management Science, 335)

Nonlinear Multiobjective Optimization: 12 (International Series in Operations Research & Management Science, 12)

New Perspectives in Multiple Criteria Decision Making: Innovative Applications and Case Studies

Modeling and Optimization: Theory and Applications: MOPTA, Bethlehem, PA, USA, August 2014 Selected Contributions: 147 (Springer Proceedings in Mathematics & Statistics, 147)

Socio-Inspired Optimization Methods for Advanced Manufacturing Processes (Springer Series in Advanced Manufacturing)

Finite-Dimensional Variational Inequalities and Complementarity Problems (Springer Series in Operations Research and Financial Engineering)

Finite-Dimensional Variational Inequalities and Complementarity Problems (Springer Series in Operations Research and Financial Engineering)

Optimality Conditions in Convex Optimization: A Finite-Dimensional View

Optimality Conditions in Convex Optimization: A Finite-Dimensional View

Modelling and Optimization of Distributed Parameter Systems Applications to engineering: Selected Proceedings of the IFIP WG7.2 on Modelling and ... in Information and Communication Technology)

Nonlinear Programming: Theory and Algorithms

Particle Swarm Optimisation: Classical and Quantum Perspectives: 16 (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

Springer Optimization, Variational Analysis and Applications

Optimization Theory and Related Topics: Israel Mathematical Conference Proceedings, a Workshop in Memory of Dan Butnariu, January 11-14, 2010, Haifa, Israel (Contemporary Mathematics)

Nonlinear Conjugate Gradient Methods for Unconstrained Optimization: 158 (Springer Optimization and Its Applications, 158)

Modern Business Statistics with Microsoft Excel (with Printed Access Card)

Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing: 21 (Wiley Series in Discrete Mathematics & Optimization)

Nonlinear Optimization in Finite Dimensions: Morse Theory, Chebyshev Approximation, Transversality, Flows, Parametric Aspects: 47 (Nonconvex Optimization and Its Applications, 47)