Variational and Quasi-Variational Inequalities: Applications to Control and Finance

Variational and Quasi-Variational Inequalities: Applications to Control and Finance (Industrial and Applied Mathematics)

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Variational and Quasi-Variational Inequalities: Applications to Control and Finance (Industrial and Applied Mathematics)

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Variational and Quasi-Variational Inequalities: Applications to Control and Finance

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Variational and Quasi-Variational Inequalities: Applications to Control and Finance (Industrial and Applied Mathematics)

Overall Rating: 2.3 / 5 (average from multiple review sources, as of 23 Jun 2026)
Based on a total of 48,964 customer reviews from independent review platforms.

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The values are derived from publicly available retailer ratings from platforms such as Feefo, http://Reviews.io , Trustpilot, and others, and are aggregated monthly.

All brand names and logos are the property of their respective owners.

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This title will be released on August 10, 2026. Pre-order now. Express Delivery available with Amazon Prime.
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Variational and Quasi-Variational Inequalities: Applications to Control and Finance

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This book presents a rigorous and modern treatment of variational and quasi-variational inequalities, with applications to impulse control, nonlinear partial differential equations, and mathematical finance.It develops the theory of state-dependent constrained systems, where the admissible set depends on the unknown solution itself, leading to challenging nonlinear analytical structures. The book covers existence and stability theory, fixed-point methods, impulse control problems, asymptotic analysis, penalty techniques, and numerical approximation methods.Special attention is devoted to applications in optimal control and American option pricing. Combining functional analysis, nonlinear PDEs, optimization, and computational mathematics, this book offers a unified framework that bridges theoretical developments with practical modeling applications.Detailed numerical examples and computational approaches complement the analytical results. Designed for researchers, graduate students, and
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