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Title: MOMENTS, POSITIVE POLYNOMIALS AND THEIR APPLICATIONS
By: Jean-Bernard Lasserre
Format: Hardback

List price: £120.00
Our price: £108.00
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10% off
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ISBN 10: 1848164459
ISBN 13: 9781848164451
Availability: Usually dispatched within 1-3 weeks.
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Publisher: IMPERIAL COLLEGE PRESS
Pub. date: 1 October, 2009
Series: Series On Optimization And Its Applications 1
Pages: 384
Description: Many important problems in global optimization, algebra, probability and statistics, applied mathematics, control theory, and financial mathematics can be modeled as a particular instance of the Generalized Moment Problem (GMP). This book introduces a general methodology to solve the GMP when its data are polynomials and basic semi-algebraic sets.
Synopsis: Many important applications in global optimization, algebra, probability and statistics, applied mathematics, control theory, financial mathematics, inverse problems, etc. can be modeled as a particular instance of the Generalized Moment Problem (GMP).This book introduces a new general methodology to solve the GMP when its data are polynomials and basic semi-algebraic sets. This methodology combines semidefinite programming with recent results from real algebraic geometry to provide a hierarchy of semidefinite relaxations converging to the desired optimal value. Applied on appropriate cones, standard duality in convex optimization nicely expresses the duality between moments and positive polynomials.In the second part, the methodology is particularized and described in detail for various applications, including global optimization, probability, optimal control, mathematical finance, multivariate integration, etc., and examples are provided for each particular application.Errata(s)Errata
Publication: UK
Imprint: Imperial College Press
Returns: Returnable
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