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OverviewThis book provides a comprehensive and user-friendly exploration of the tremendous recent developments that reveal the connections between real algebraic geometry and optimization, two subjects that were usually taught separately until the beginning of the 21st century. Real algebraic geometry studies the solutions of polynomial equations and polynomial inequalities over the real numbers. Real algebraic problems arise in many applications, including science and engineering, computer vision, robotics, and game theory. Optimization is concerned with minimizing or maximizing a given objective function over a feasible set. Presenting key ideas from classical and modern concepts in real algebraic geometry, this book develops related convex optimization techniques for polynomial optimization. The connection to optimization invites a computational view on real algebraic geometry and opens doors to applications. Intended as an introduction for students of mathematics or related fields at an advanced undergraduate or graduate level, this book serves as a valuable resource for researchers and practitioners. Each chapter is complemented by a collection of beneficial exercises, notes on references, and further reading. As a prerequisite, only some undergraduate algebra is required. Full Product DetailsAuthor: Thorsten TheobaldPublisher: American Mathematical Society Imprint: American Mathematical Society Volume: 241 ISBN: 9781470474317ISBN 10: 147047431 Pages: 271 Publication Date: 30 June 2024 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Forthcoming Availability: Not yet available  This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsFoundations Univariate real polynomials From polyhedra to semialgebraic sets The Tarski-Sidenberg principle and elimination of quantifiers Cylindrical algebraic decomposition Linear, semidefinite, and conic optimization Positive polynomials, sums of suares and convexity Positive polynomials Polynomial optimization Spectrahedra Outlook Stable and hyperbolic polynomials Relative entropy methods in semialgebraic optimzation Background material Notation Bibliography IndexReviewsAuthor InformationThorsten Theobald, Goethe University Frankfurt, Frankfurt am Main, Germany. Tab Content 6Author Website:Countries AvailableAll regions |
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