Lasserre jean bernard (162 risultati)

Broschiert. Condizione: Gut. XVI, 136 S. : graph. Darst. Das hier angebotene Buch stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.). Schnitt und Einband sind etwas staubschmutzig; der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Sprache: Englisch Gewicht in Gramm: 250.…

Condizione: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condizione: binding (fair) pages (good). 1935 249 pages illustrated.

XIII/205 S./pp., Originalpappband (publisher's cardboard covers), Bibliotheksexemplar in sehr gutem Zustand / exlibrary in excellent condition (Stempel auf Titel / title stamped, Rückenschildchen / lettering pannel to the spine, Block sehr gut / contents fine, keine Unterstreichungen oder Anstreichungen / no underlining or remarks, nicht in Folie eingeschlagen / not wrapped up in foil), (Progress in Mathematics 211), Sprache: englisch.…

Condizione: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.

Condizione: New. pp. xiv + 168.

Condizione: New. pp. xiv + 168 2 Illus.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New. The Christoffel-Darboux kernel, a central object in approximation theory, is shown to have many potential uses in modern data analysis, including applications in machine learning. This is the first book to offer a rapid introduction to the subject, illustrating the surprising effectiveness of a simple tool. Bridging the gap between classical mathematics and current evolving research, the authors present the topic in detail and follow a heuristic, example-based approach, assuming only a basic background in functional analysis, probability and some elementary notions of algebraic geometry. They cover new results in both pure and applied mathematics and introduce techniques that have a wide range of potential impacts on modern quantitative and qualitative science. Comprehensive notes provide historical background, discuss advanced concepts and give detailed bibliographical references. Researchers and graduate students in mathematics, statistics, engineering or economics will find new perspectives on traditional themes, along with challenging open problems.…

Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condizione: New. pp. xiv + 168.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.

Condizione: New.

Paperback. Condizione: New. 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.…

Paperback. Condizione: New. This is the first comprehensive introduction to the powerful moment approach for solving global optimization problems (and some related problems) described by polynomials (and even semi-algebraic functions). In particular, the author explains how to use relatively recent results from real algebraic geometry to provide a systematic numerical scheme for computing the optimal value and global minimizers. Indeed, among other things, powerful positivity certificates from real algebraic geometry allow one to define an appropriate hierarchy of semidefinite (SOS) relaxations or LP relaxations whose optimal values converge to the global minimum. Several extensions to related optimization problems are also described. Graduate students, engineers and researchers entering the field can use this book to understand, experiment with and master this new approach through the simple worked examples provided.…

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. The first comprehensive introduction to the powerful moment approach for solving global optimization problems. Series: Cambridge Texts in Applied Mathematics. Num Pages: 354 pages, 15 b/w illus. 2 colour illus. BIC Classification: PBU. Category: (P) Professional & Vocational. Dimension: 228 x 154 x 22. Weight in Grams: 514. . 2015. Illustrated. paperback. . . . . …

Condizione: New.

Condizione: New. Concerning discrete-time homogeneous Markov chains that admit an invariant probability measure, this book aims to give a presentation on some key issues about the ergodic behavior of these chains. These issues include the various types of convergence of expected and pathwise occupation measures, and ergodic decompositions of the state space. Series: Progress in Mathematics. Num Pages: 208 pages, biography. BIC Classification: PBWL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 14. Weight in Grams: 486. . 2003. Hardback. . . . .…

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.